The present techniques relate generally to interactively planning a well site. More specifically, the present techniques provide for the interactive planning of a well site for recovering hydrocarbons from a reservoir based on a three-dimensional model of a hydrocarbon field including the reservoir.
This section is intended to introduce various aspects of the art, which may be associated with exemplary embodiments of the present techniques. This discussion is believed to assist in providing a framework to facilitate a better understanding of particular aspects of the present techniques. Accordingly, it should be understood that this section should be read in this light, and not necessarily as admissions of prior art.
The process of planning a well site for the development of a hydrocarbon field involves several discrete decisions. Specifically, the well site locations and the reservoir targets for the available slots in the drill center are selected. In addition, the trajectory of each well within the well site is planned such that certain engineering constraints are met. Such engineering constraints may relate to environmental issues, issues regarding the safe distance around the wells, issues regarding the costs of the facilities and the drilling process for the well site, or the like. For example, engineering constraints relating to environmental issues may specify that the well site location is to avoid certain obstacles, such as pipelines, roads, buildings, hazardous areas, environmentally protected areas, and the like. In addition, engineering constraints relating to issues regarding the safe distance around the wells may specify that the well site location is to be at least a specified distance away from existing wells to avoid potential collisions. Therefore, the main objective during the planning of a well site may be to maximize the total production output by selecting a suitable well site location and suitable reservoir targets, while meeting relevant engineering constraints and minimizing costs. However, planning a well site that meets this objective is often a complex and time-consuming process.
According to current techniques, a well site is planned and built as resources become available. First, a set of potential reservoir targets is selected. Second, a well site location is chosen at an appropriate surface location so that the horizontal reach to each reservoir target does not exceed a predefined distance. Third, the drill center for the well site is designed, and a set of well trajectories starting from the slots in the drill center are designed based on well path building algorithms and engineering constraints. However, according to such techniques, the user has to manually select the reservoir targets that are reachable from the slots in the drill center. Moreover, if the drill center has to be relocated to a different well site location, some of the previously selected reservoir targets may be more than the predefined horizontal distance from the well site location and, thus, may not meet the engineering constraints. In addition, some of the previously selected reservoir targets may not meet other engineering constraints, such as constraints relating to total measured depth, dogleg severity, or the like.
U.S. Pat. No. 6,549,879 to Cullick et al. describes a method for determining well locations in a three-dimensional reservoir model while satisfying various constraints. Such constraints include minimum inter-well spacing, maximum well length, angular limits for deviated completions, and minimum distance from reservoir and fluid boundaries. In the first stage, the wells are placed assuming that the wells can only be vertical. In the second stage, the vertical wells are examined for optimized horizontal and deviated completions. This process may be used to provide an initial set of well locations and configurations.
U.S. Pat. No. 7,096,172 to Colvin et al. describes a system and method for the automatic selection of targets for well placement using two-dimensional matrices that represent a three-dimensional model of the reservoir. Specifically, a number of values in a three-dimensional model are filtered to eliminate values that are below a threshold, and a first matrix that represents a two-dimensional model of the reservoir is developed based on values in the three-dimensional model. A second matrix is then developed from the first matrix using a distance-weighted sum of the values, and target locations are selected from the second matrix based on the distance-weighted sum of the values.
U.S. Patent Application Publication No. US 2008/0300793 by Tilke et al. describes a hybrid evolutionary algorithm technique for automatically calculating well and drainage locations in a hydrocarbon field. The hybrid evolutionary algorithm technique includes planning a set of wells for a static reservoir model using an automated well planner tool, and then selecting a subset of the wells based on dynamic flow simulation using a cost function that maximizes recovery or economic benefit.
U.S. Patent Application Publication No. US 2010/0125349 by Abasov et al. describes a system and method for developing a plan for multiple wellbores with a reservoir simulator based on actual and potential reservoir performance. Connected grid cells in a gridded reservoir model that meet particular criteria are identified, and a drainable volume indicator is created for each group of connected grid cells. An adjustment value for each drainable volume is calculated, and each drainable volume that has an adjustment value up to a predetermined maximum adjustment value is designated as a completion interval grid. Contiguous completion interval grids are then connected to form one or more completion intervals.
All of the techniques described above provide for the planning of a well site. However, such techniques do not provide flexibility during the planning process but, rather, automatically plan the well site based on predefined conditions. However, in many cases, it may be desirable to provide a dynamic well site planning process that responds to user interaction.
An exemplary embodiment provides a method for dynamically planning a well site. The method includes generating, via a computing system, a three-dimensional model of a hydrocarbon field including a reservoir. The method also includes determining a location for a well site based on the three-dimensional model and determining reservoir targets for the determined location and a well trajectory for each reservoir target. The method also includes dynamically adjusting the location for the well site based on the three-dimensional model and dynamically adjusting the reservoir targets and the well trajectories based on the dynamic adjustment of the location for the well site. The determination and the dynamic adjustment of the location, the reservoir targets, and the well trajectories for the well site are based on specified constraints. The method further includes determining a design for the well site based on the dynamic adjustment of the location, the reservoir targets, and the well trajectories for the well site.
Another exemplary embodiment provides a computing system for dynamically planning a well site. The computing system includes a processor and a storage medium. The storage medium includes a three-dimensional model of a hydrocarbon field including a reservoir and specified constraints for planning a well site at the hydrocarbon field. The computing system also includes a non-transitory, computer-readable medium including code configured to direct the processor to dynamically determine a location for the well site based on the three-dimensional model and the specified constraints in response to feedback from a user of the computing system, and dynamically determine reservoir targets for the well site based on the three-dimensional model and the specified constraints in response to the dynamic determination of the location for the well site. The non-transitory, computer-readable medium also includes code configured to direct the processor to dynamically determine a well trajectory for each reservoir target based on the three-dimensional model and the specified constraints, and determine a design for the well site based on the dynamic determination of the location, the reservoir targets, and the well trajectories for the well site in response to feedback from the user.
Another exemplary embodiment provides a non-transitory, computer-readable storage medium for storing computer-readable instructions. The computer-readable instructions include code configured to direct a processor to generate a three-dimensional model of a hydrocarbon field including a reservoir and display the three-dimensional model to a user via a display device. The computer-readable instructions also include code configured to direct the processor to determine a location for a well site based on the three-dimensional model in response to feedback from a user, automatically determine reservoir targets for the determined location based on a drill center of a specified configuration, and automatically determine a well trajectory for each reservoir target. The computer-readable instructions also include code configured to direct the processor to dynamically update the location for the well site based on the three-dimensional model in response to feedback from the user and automatically update the reservoir targets and the well trajectories as the location for the well site is dynamically updated. The location, the reservoir targets, and the well trajectories for the well site are determined and updated based, at least in part, on specified constraints. The computer-readable instructions further include code configured to direct the processor to determine a design for the well site based on the determination and updating of the location, the reservoir targets, and the well trajectories for the well site.
The advantages of the present techniques are better understood by referring to the following detailed description and the attached drawings, in which:
In the following detailed description section, specific embodiments of the present techniques are described. However, to the extent that the following description is specific to a particular embodiment or a particular use of the present techniques, this is intended to be for exemplary purposes only and simply provides a description of the exemplary embodiments. Accordingly, the techniques are not limited to the specific embodiments described below, but rather, include all alternatives, modifications, and equivalents falling within the true spirit and scope of the appended claims.
At the outset, for ease of reference, certain terms used in this application and their meanings as used in this context are set forth. To the extent a term used herein is not defined below, it should be given the broadest definition persons in the pertinent art have given that term as reflected in at least one printed publication or issued patent. Further, the present techniques are not limited by the usage of the terms shown below, as all equivalents, synonyms, new developments, and terms or techniques that serve the same or a similar purpose are considered to be within the scope of the present claims.
The term “azimuth” describes the rotation of a device about an axis of a trajectory, relative to a reference that may be a projection of the gravity or magnetic field vector on a plane perpendicular to the axis.
The term “depth” describes a measure of displacement of a device along a trajectory.
“Dogleg severity” refers to the rate of change in degrees of a wellbore from vertical during drilling of the wellbore. Dogleg severity is often measured in degrees per one hundred feet (°/100 ft).
As used herein, “dynamic” and “dynamically” refer to automatically adjusting parameters in a simulation as a user changes other parameters and displaying the changes in a real-time fashion to allow the user to see the automatically adjusted parameters. This may be considered an interactive process, in which the user and the simulation interact to generate the final results.
The term “gas” is used interchangeably with “vapor,” and is defined as a substance or mixture of substances in the gaseous state as distinguished from the liquid or solid state. Likewise, the term “liquid” means a substance or mixture of substances in the liquid state as distinguished from the gas or solid state.
A “geologic model” is a computer-based representation of a subsurface earth volume, such as a petroleum reservoir or a depositional basin. Geologic models may take on many different forms. Depending on the context, descriptive or static geologic models built for petroleum applications can be in the form of a three-dimensional array of cells, to which geologic and/or geophysical properties such as lithology, porosity, acoustic impedance, permeability, or water saturation are assigned. Many geologic models are constrained by stratigraphic or structural surfaces (for example, flooding surfaces, sequence interfaces, fluid contacts, faults) and boundaries (for example, facies changes). These surfaces and boundaries define regions within the model that possibly have different reservoir properties.
A “hydrocarbon” is an organic compound that primarily includes the elements hydrogen and carbon, although nitrogen, sulfur, oxygen, metals, or any number of other elements may be present in small amounts. As used herein, hydrocarbons generally refer to components found in natural gas, oil, or chemical processing facilities.
“Natural gas” refers to a multi-component gas obtained from a crude oil well or from a subterranean gas-bearing formation. The composition and pressure of natural gas can vary significantly. A typical natural gas stream contains methane (CH4) as a major component, i.e., greater than 50 mol % of the natural gas stream is methane. The natural gas stream can also contain ethane (C2H6), higher molecular weight hydrocarbons (e.g., C3-C20 hydrocarbons), one or more acid gases (e.g., carbon dioxide or hydrogen sulfide), or any combinations thereof. The natural gas can also contain minor amounts of contaminants such as water, nitrogen, iron sulfide, wax, crude oil, or any combinations thereof. The natural gas stream may be substantially purified prior to use in embodiments, so as to remove compounds that may act as poisons.
“Permeability” is the capacity of a rock to transmit fluids through the interconnected pore spaces of the rock. Permeability may be measured using Darcy's Law: Q=(kΔP A)/μL), wherein Q=flow rate (cm3/s), ΔP=pressure drop (atm) across a cylinder having a length L (cm) and a cross-sectional area A (cm2), μ=fluid viscosity (cp), and k=permeability (Darcy). The customary unit of measurement for permeability is the millidarcy.
“Porosity” is defined as the ratio of the volume of pore space to the total bulk volume of the material expressed in percent. Porosity is a measure of the reservoir rock's storage capacity for fluids. Porosity is preferably determined from cores, sonic logs, density logs, neutron logs or resistivity logs. Total or absolute porosity includes all the pore spaces, whereas effective porosity includes only the interconnected pores and corresponds to the pore volume available for depletion.
A “reservoir” is a subsurface rock formation from which a production fluid can be harvested. The rock formation may include granite, silica, carbonates, clays, and organic matter, such as oil, gas, or coal, among others. Reservoirs can vary in thickness from less than one foot (0.3048 meters) to hundreds of feet (hundreds of meters). The permeability of the reservoir provides the potential for production.
“Substantial” when used in reference to a quantity or amount of a material, or a specific characteristic thereof, refers to an amount that is sufficient to provide an effect that the material or characteristic was intended to provide. The exact degree of deviation allowable may depend, in some cases, on the specific context.
A “wellbore” is a hole in the subsurface made by drilling or inserting a conduit into the subsurface. A wellbore may have a substantially circular cross section or any other cross-sectional shape, such as an oval, a square, a rectangle, a triangle, or other regular or irregular shapes. As used herein, the term “well” may refer to the entire hole from the drill center at the surface to the toe or end in the formation. A well is generally configured to convey fluids to and from a subsurface formation.
Overview
Embodiments described herein provide for the interactive planning of a well site including a number of production wells for recovering hydrocarbons from a hydrocarbon field. More specifically, embodiments described herein provide for the planning of a well site in a dynamic, interactive manner using a three-dimensional model of a hydrocarbon field. The three-dimensional model may allow for the interactive determination of a suitable well site location, as well as a number of suitable reservoir targets and corresponding well trajectories. The three-dimensional model may include any suitable type of three-dimensional representation of a hydrocarbon reservoir, as well as the surrounding geologic structures, topography, and surface features.
The interactive well site planning process described herein may allow users of a computing system to dynamically test multiple scenarios for a well site prior to building an actual well site. For example, the dynamic well site planning process described herein may enable users to rapidly evaluate an entire hydrocarbon field to generate a suitable well site plan via the dynamic selection of well site locations, reservoir targets, and well trajectories. This may result in a minimization of the total cost of the well site planning process.
Three-Dimensional Models and Structures for Planning a Well Site
The reservoir targets 104 identified during the survey may indicate target areas that are reachable via production wells drilled from a well site location. In addition, the surface features identified during the survey may be used to indicate areas or objects to be avoided during the planning of the well site location and well trajectories. Such areas or objects to be avoided may include roads, underground pipelines, mountains, steep slopes, man-made structures, and the like. In various embodiments, the well site location is selected such that the well site is at least a minimum distance away from the surface features that were identified during the survey of the hydrocarbon field 102. Further, the well site location may be selected such that certain engineering constraints are met, as discussed further herein.
Relevant engineering constraints, such as constraints relating to the maximum horizontal reach to the reservoir targets and constraints relating to the minimum distance to the ground objects to be avoided, may be taken into account during the determination of the drill center configuration for a well site. In addition, the available slots from existing drill centers may be taken into account during the determination of the drill center configuration for a well site.
Based on the determined drill center configuration for a well site, a number of reservoir targets are selected, and a reservoir target is assigned to each slot in the drill center. The reservoir targets may be selected and assigned to the slots in the drill center automatically by the computing system, or manually in response to feedback from the user of the computing system. A suitable well trajectory is then constructed for each reservoir target, starting from the corresponding slot in the drill center. In various embodiments, the well-trajectory generation process is deterministic and is based on a number of constraints that are specified by the user. Further, in some embodiments, optimization algorithms are used to help derive suitable well trajectories for the reservoir targets.
Each well trajectory typically includes a sequence of straight and curved segments. The straight segments are less costly than the curved sections. However, the curved sections are used for transitioning from one azimuth direction to another to reach deviated locations.
The well trajectory 300 shown in
At the newly selected drill center location, the previously selected reservoir targets 406 may be released, and new reservoir targets 416 may be automatically selected. In addition, a new well trajectory 418 may be determined for each new reservoir target 416 such that the engineering constraints are met. In various embodiments, the dynamic selection of reservoir targets and well trajectories for each selected drill center location allows the user to rapidly evaluate and compare the costs and benefits of each well site plan. This may allow the user to quickly derive a suitable well site at a relatively low cost.
Once the final well site 422 has been selected, the well site 422 may be evaluated for horizontal drilling opportunities. Specifically, a number of additional reservoir targets 424 may be identified, and at least a portion of the well trajectories 408 may be extended such that the corresponding wells reach more than one reservoir target, as shown in
In various embodiments, the reservoir targets 522 for the well site 518 may be selected such that few, if any, undrilled reservoir targets are left within the hydrocarbon field 502. In particular, it may be desirable to avoid leaving undrilled reservoir targets in locations that may be difficult to reach later, such as between two well sites.
Methods for Interactively Planning a Well Site
The method begins at block 602 with the creation of a three-dimensional model of potential well site locations near a hydrocarbon reservoir. The three-dimensional model may include any suitable type of three-dimensional representation of the reservoir, as well as the surrounding geologic structures, topography, and surface features. For example, the three-dimensional model may include man-made objects, such as roads, underground pipelines, buildings, and the like, as well as objects that exist in nature, such as mountains, rivers, faults, and the like, that exist near the reservoir.
Once the three-dimensional model has been created, engineering constraints for planning the well site may be specified. Such engineering constraints may include constraints relating to the maximum number of slots to be included in the drill center, constraints relating to the maximum horizontal reach from the drill center to the reservoir targets, constraints relating to the minimum distance between the well trajectories and the ground objects to be avoided, and the like.
At block 604, a first well site location is selected based on the three-dimensional model. In various embodiments, the first well site location is selected in response to feedback from a user of the computing system. Specifically, the three-dimensional model may be displayed to the user via a user interface. The user interface may allow the user to drag an indicator across the three-dimensional model and drop the indicator over a desired well site location on the three-dimensional model. Further, in various embodiments, the user interface may prevent the user from dragging the indicator over locations that may not be used as well site locations. For example, if the three-dimensional model indicates that a mountain exists at one location, the computing system may determine that the location is not suitable for a well site location. Therefore, when the user attempts to drag the indicator over that location, the indicator may change colors or bounce off the location, for example, to notify the user that the location may not be selected for the well site. Other types of barriers that may be recognized include natural obstacles, such as rivers, canyons, gullies, and man-made obstacles, such as structures, highways, towns, cities, and the like. Further, information on land leases may be used to determine acceptable locations for drill sites, with the indicator prevented from stopping in an area that has no surface lease.
In some embodiments, the computing system provides a recommendation for the first well site location to the user via the user interface. The computing system may determine the recommendation for the first well site location based on optimization algorithms that take into account all of the specified engineering constraints. Further, in some embodiments, the computing system automatically determines the first well site location in response to input by the user. For example, the user may switch the computing system to automatic mode via the user interface, and the computing system may respond by automatically determining the first well site location based on the optimization algorithms.
At block 606, a drill center is designed for the well site. The drill center may include a number of slots arranged according to any number of different configurations, as discussed with respect to
At block 608, a first set of reservoir targets that are reachable from the well site location is identified such that the number of reservoir targets does not exceed the number of slots in the designed drill center. In addition, at block 610, well trajectories for the first set of reservoir targets are designed such that specified constraints are met.
Once the well trajectories for the first set of reservoir targets have been designed, a second well site location is selected at block 612 based on the three-dimensional model. The user may select the second well site location by simply dragging the indicator to the new location via the user interface. At block 614, a first set of reservoir targets that are reachable from the well site location is identified such that the number of reservoir targets does not exceed the number of slots in the designed drill center. In addition, at block 616, well trajectories for the second set of reservoir targets are designed such that the specified constraints are met.
At block 618, it is determined whether a suitable well site has been designed. A suitable well site may be defined as a well site that is expected to provide at least a minimum specified return at less than or equal to a maximum specified cost. In various embodiments, the first well site location and corresponding well trajectories may be analyzed and compared to the second well site location and corresponding well trajectories. It may then be determined whether either well site location provides a suitable well site.
If a suitable well site has been designed, the method 600 ends at block 620. Otherwise, the method 600 returns to block 612, at which a third well site location is selected. This process may be repeated until a suitable well site has been designed. In various embodiments, this iterative process maximizes the utilization of all the selected reservoir targets, and minimizes the total cost of well site design.
The process flow diagram of
At block 704, a location for a well site is determined based on the three-dimensional model. In various embodiments, the location for the well site is determined in response to feedback from a user of the computing system. Specifically, the three-dimensional model may be displayed to the user via a display device, and the user may provide feedback to the computing system via a user interface. The user interface may allow the user to select the location for the well site by moving an indicator over the three-dimensional model and placing the indicator on the desired location. Moreover, the user interface may disallow the indicator from moving over one or more locations represented by the three-dimensional model based on the geologic structure and the topology of the hydrocarbon field. In particular, the indicator may be prevented from moving over locations that include objects such as roads, underground pipeline, mountains, or the like, since such locations may not be suitable locations for the well site.
At block 706, reservoir targets for the determined location and a well trajectory for each reservoir target are determined. In various embodiments, the reservoir targets and corresponding well trajectories are automatically determined by the computing system based on the determined location for the well site. In addition, the reservoir targets may be determined, at least in part, based on a drill center of a specified configuration. Specifically, a specified number of reservoir targets that does not exceed a total number of slots in the drill center may be determined.
At block 708, the location for the well site is adjusted within the three-dimensional model. In various embodiments, the location for the well site is adjusted in response to feedback from the user of the computing system. For example, the user interface may allow the user to update the location for the well site by moving the indicator over the three-dimensional model and placing the indicator on a new location.
At block 710, the reservoir targets and the well trajectories are dynamically adjusted based on the adjustment of the location for the well site. In various embodiments, the reservoir targets and corresponding well trajectories are automatically updated by the computing system as the location for the well site is updated.
According to embodiments described herein, the location, reservoir targets, and well trajectories for the well site are determined and dynamically adjusted based on specified constraints. Such constraints may include constraints relating to a predefined maximum horizontal distance between the location for the well site and each reservoir target, and constraints relating to existing well sites in the hydrocarbon field. In addition, such constraints may include constraints relating to kick-off depths, hold distances, well trajectory types, dogleg severity, and the azimuth orientation of the well site, for example.
At block 712, a design for the well site is determined based on the location of the well site, the reservoir targets, and the well trajectories for the well site. Determining the design for the well site may include determining a final location for the well site, as well as final reservoir targets and well trajectories for the well site. In various embodiments, the design for the well site is determined such that a highest amount of hydrocarbons, e.g., oil and/or natural gas, is expected to be recovered from the reservoir at a lowest cost.
The process flow diagram of
Computing System for Dynamically Planning a Well Site
The cluster computing system 800 may be accessed from any number of client systems 804A and 804B over a network 806, for example, through a high speed network interface 808. The computing units 802A-D may also function as client systems, providing both local computing support and access to the wider cluster computing system 800.
The network 806 may include a local area network (LAN), a wide area network (WAN), the Internet, or any combinations thereof. Each client system 804A and 804B may include one or more non-transitory, computer-readable media for storing the operating code and programs that are used to implement the dynamic well site planning process described herein. For example, each client system 804A and 804B may include a memory device 810A and 810B, which may include random access memory (RAM), read only memory (ROM), and the like. Each client system 804A and 804B may also include a storage device 812A and 812B, which may include any number of hard drives, optical drives, flash drives, or the like.
The high speed network interface 808 may be coupled to one or more buses in the cluster computing system 800, such as a communications bus 814. The communication bus 814 may be used to communicate instructions and data from the high speed network interface 808 to a cluster storage system 816 and to each of the computing units 802A-D in the cluster computing system 800. The communications bus 814 may also be used for communications among the computing units 802A-D and the cluster storage system 816. In addition to the communications bus 814, a high speed bus 818 can be present to increase the communications rate between the computing units 802A-D and/or the cluster storage system 816.
The cluster storage system 816 can have one or more non-transitory, computer-readable media, such as storage arrays 820A-D for the storage of three-dimensional models, data, visual representations, results, code, or other information, for example, concerning the implementation of and results from the methods 600 and 700 of
Each computing unit 802A-D can have a processor 822A-D and associated local non-transitory, computer-readable media, such as a memory device 824A-D and a storage device 826A-D. Each processor 822A-D may be a multiple core unit, such as a multiple core central processing unit (CPU) or a graphics processing unit (GPU). Each memory device 824A-D may include ROM and/or RAM used to store code for directing the corresponding processor 822A-D to implement the methods 600 and 700 of
The present techniques are not limited to the architecture or unit configuration illustrated in
Embodiments of the invention may include any combinations of the methods and systems shown in the following numbered paragraphs. This is not to be considered a complete listing of all possible embodiments, as any number of variations can be envisioned from the description above.
1. A method for dynamically planning a well site, including:
2. The method of paragraph 1, including determining and dynamically adjusting the location for the well site in response to feedback from a user of the computing system.
3. The method of paragraph 2, including:
4. The method of paragraph 3, wherein receiving the feedback from the user via the user interface includes determining and dynamically adjusting the location for the well site as the user moves an indicator over the three-dimensional model.
5. The method of paragraph 4, wherein the three-dimensional model includes a geologic structure and a topology of the hydrocarbon field, and wherein determining and dynamically adjusting the location for the well site based on the specified constraints includes disallowing the indicator from moving over one or more locations represented by the three-dimensional model based on the geologic structure and the topology of the hydrocarbon field.
6. The method of any of paragraphs 1 and 2, including determining the reservoir targets for the determined location based on a drill center of a specified configuration by determining a specified number of reservoir targets that does not exceed a total number of slots in the drill center.
7. The method of any of paragraphs 1, 2, and 6, wherein determining and dynamically adjusting the location, the reservoir targets, and the well trajectories for the well site based on the specified constraints includes determining the location, the reservoir targets, and the well trajectories based on anti-collision constraints relating to existing well sites.
8. The method of any of paragraphs 1, 2, 6, and 7, wherein determining and dynamically adjusting the location, the reservoir targets, and the well trajectories for the well site based on the specified constraints includes determining the location, the reservoir targets, and the well trajectories based on constraints relating to a predefined maximum horizontal distance between the location for the well site and each reservoir target.
9. The method of any of paragraphs 1, 2, and 6-8, wherein determining and dynamically adjusting a well trajectory for a reservoir target includes performing horizontal drilling to extend the well trajectory to one or more additional reservoir targets.
10. The method of any of paragraphs 1, 2, and 6-9, including automatically determining or automatically adjusting the reservoir targets and the well trajectories for the well site via the computing system.
11. A computing system for dynamically planning a well site, including:
12. The computing system of paragraph 11, wherein the non-transitory, computer-readable medium includes code configured to direct the processor to dynamically determine the location, the reservoir targets, and the well trajectories for the well site by interactively updating the location, the reservoir targets, and the well trajectories for the well site in response to the feedback from the user.
13. The computing system of any of paragraphs 11 and 12, wherein the non-transitory, computer-readable medium includes code configured to direct the processor to automatically determine the reservoir targets and the well trajectories for the well site based on the location for the well site.
14. The computing system of any of paragraphs 11-13, including a display device configured to:
15. The computing system of paragraph 14, wherein the display device is configured to receive the feedback from the user via the user interface in response to the user moving an indicator over the three-dimensional model.
16. The computing system of paragraph 15, wherein the three-dimensional model includes a geologic structure and a topology of the hydrocarbon field, and wherein the non-transitory, computer-readable medium includes code configured to direct the processor to disallow the indicator from moving over one or more locations represented by the three-dimensional model based on the geologic structure and the topology of the hydrocarbon field.
17. The computing system of any of paragraphs 11-14, wherein the non-transitory, computer-readable medium includes code configured to direct the processor to dynamically determine the reservoir targets for the well site based, at least in part, on a drill center of a specified configuration by determining a specified number of reservoir targets that does not exceed a total number of slots in the drill center.
18. The computing system of any of paragraphs 11-14 and 17, wherein the specified constraints include anti-collision constraints relating to existing well sites in the hydrocarbon field.
19. The computing system of any of paragraphs 11-14, 17, and 18, wherein the specified constraints include constraints relating to a predefined maximum horizontal distance between the location for the well site and each reservoir target.
20. The computing system of any of paragraphs 11-14 and 17-19, wherein the well trajectories for the reservoir targets include deviated well trajectories.
21. The computing system of any of paragraphs 11-14 and 17-20, wherein the non-transitory, computer-readable medium includes code configured to direct the processor to dynamically determine a well trajectory for a reservoir target by performing horizontal drilling to extend the well trajectory to one or more additional reservoir targets.
22. The computing system of any of paragraphs 11-14 and 17-21, wherein the non-transitory, computer-readable medium includes code configured to direct the processor to determine the design for the well site such that a highest amount of hydrocarbons is expected to be recovered from the reservoir at a lowest cost.
23. A non-transitory, computer-readable storage medium for storing computer-readable instructions, the computer-readable instructions including code configured to direct a processor to:
24. The non-transitory, computer-readable storage medium of paragraph 23, wherein the computer-readable instructions include code configured to direct the processor to receive the feedback from the user via a user interface in response to the user moving an indicator over the three-dimensional model.
25. The non-transitory, computer-readable storage medium of paragraph 24, wherein the three-dimensional model includes a geologic structure and a topology of the hydrocarbon field, and wherein the computer-readable instructions include code configured to direct the processor to disallow the indicator from moving over one or more locations represented by the three-dimensional model based on the geologic structure and the topology of the hydrocarbon field.
26. The non-transitory, computer-readable storage medium of any of paragraphs 23 and 24, wherein the specified constraints include anti-collision constraints relating to existing well sites in the hydrocarbon field.
27. The non-transitory, computer-readable storage medium of any of paragraphs 23, 24, and 26, wherein the specified constraints include constraints relating to a predefined maximum horizontal distance between the location for the well site and each reservoir target.
28. The non-transitory, computer-readable storage medium of any of paragraphs 23, 24, 26, and 27, wherein the computer-readable instructions include code configured to direct the processor to determine a well trajectory for a reservoir target by performing horizontal drilling to extend the well trajectory to one or more additional reservoir targets.
29. The non-transitory, computer-readable storage medium of any of paragraphs 23, 24, and 26-28, wherein the computer-readable instructions include code configured to direct the processor to determine the design for the well site such that a highest amount of hydrocarbons is expected to be recovered from the reservoir at a lowest cost.
While the present techniques may be susceptible to various modifications and alternative forms, the embodiments discussed above have been shown only by way of example. However, it should again be understood that the techniques is not intended to be limited to the particular embodiments disclosed herein. Indeed, the present techniques include all alternatives, modifications, and equivalents falling within the true spirit and scope of the appended claims.
This application claims the benefit of U.S. Provisional Patent Application 61/833,159 filed Jun. 10, 2013 entitled INTERACTIVELY PLANNING A WELL SITE, the entirety of which is incorporated by reference herein.
Number | Date | Country | |
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61833159 | Jun 2013 | US |