This application is a national stage entry of PCT/US 14/22823 filed Mar. 10, 2014, said application is expressly incorporated herein in its entirety.
The subject matter herein generally relates to system and method of thermophysical property detection, and more specifically to in-situ determination of specific heat capacities of downhole formation fluid.
During drilling or production operations of a reservoir, the compositions of downhole fluids often affect the drilling process because the thermophysical properties of the downhole formation fluids vary with pressure, temperature, and chemical composition. Downhole formation fluids can have many properties, such as viscosity, density, thermal conductivity, heat capacity, and mass diffusion. Each of these properties can at least partially govern transportation and mobility of crude oils, including high viscosity crude oils, and can consequently impact the recovery process. High viscosity hydrocarbon fluid production may require external heating methods to reduce the viscosity of the fluids and enable fluid transport from the reservoir to the well location. Efficiency of production can be dependent upon the external heating power and thermal energy transport within a limited time interval. Higher heat capacity hydrocarbon fluids may require more thermal energy to effectively reduce their viscosity. It is desirable to be able to measure the heat capacity of formation fluids either during wireline logging services or the production process.
Formation fluids may have similar specific heat capacities but different viscosity, thermal conductivity, density, and mass diffusivity. Knowing these thermophysical properties of formation fluids can at least partially enable optimization of downhole tools and their long-term reliability or production optimization. Presently, most thermophysical properties of formation fluids are typically measured from samples that are taken downhole and then analyzed in a lab, which can take days, or even months. The potential phase transition may reduce the accuracy of any measurement due to the passage of time since sample collection and environmental changes at the collection point(s) which can occur over time. In-situ measurement of these parameters can improve accuracy of measurement and improve tool design and well production efficiency.
Implementations of the present technology will now be described, by way of example only, with reference to the attached figures, wherein:
It will be appreciated that for simplicity and clarity of illustration, where appropriate, reference numerals have been repeated among the different figures to indicate corresponding or analogous elements. In addition, numerous specific details are set forth in order to provide a thorough understanding of the embodiments described herein. However, it will be understood by those of ordinary skill in the art that the embodiments described herein can be practiced without these specific details. In other instances, methods, procedures and components have not been described in detail so as not to obscure the related relevant feature being described. Also, the description is not to be considered as limiting the scope of the embodiments described herein. The drawings are not necessarily to scale and the proportions of certain parts have been exaggerated to better illustrate details and features of the present disclosure.
In the following description, terms such as “upper,” “upward,” “lower,” “downward,” “above,” “below,” “downhole,” “uphole,” “longitudinal,” “lateral,” and the like, as used herein, shall mean in relation to the bottom or furthest extent of, the surrounding wellbore even though the wellbore or portions of it may be deviated or horizontal. Correspondingly, the transverse, axial, lateral, longitudinal, radial, etc., orientations shall mean orientations relative to the orientation of the wellbore or tool. Additionally, the illustrated embodiments are depicted such that the orientation is such that the right-hand side is downhole compared to the left-hand side.
Several definitions that apply throughout this disclosure will now be presented. The term “coupled” is defined as connected, whether directly or indirectly through intervening components, and is not necessarily limited to physical connections. The connection can be such that the objects are permanently connected or releasably connected. The term “outside” refers to a region that is beyond the outermost confines of a physical object. The term “inside” indicate that at least a portion of a region is partially contained within a boundary formed by the object. The term “substantially” is defined to be essentially conforming to the particular dimension, shape or other word that substantially modifies, such that the component need not be exact. For example, substantially cylindrical means that the object resembles a cylinder, but can have one or more deviations from a true cylinder.
The term “radially” means substantially in a direction along a radius of the object, or having a directional component in a direction along a radius of the object, even if the object is not exactly circular or cylindrical. The term “axially” means substantially along a direction of the axis of the object. If not specified, the term axially is such that it refers to the longer axis of the object and can be described as “longitudinally.” The term “temperature sensing device” means a device configured to sense, determine, measure or derive temperature; the term can include, but is not limited to, resistance temperature detector, thermocouple, precision resistance thermometer, fiber Bragg grating sensor, distributed temperature sensors, and heat sensor. The term “reservoir description tool” means a device configurable to perform formation tests, such as pressure, temperature, resistivity, porosity, density, mud contamination etc. testing and/or sampling. Formation properties testing and/or sampling includes, but is not limited to, open hole and cased hole wireline formation properties analyses.
The present disclosure is described in relation to a subterranean well that is depicted schematically in
As shown in
In the context of the downhole environment described above, the present disclosure enables in-situ thermal identification techniques for reservoir and downhole formation fluid properties analyses. Previously, these types of analyses have been accomplished using such means as the calorimetric method for fluid thermophysical properties analyses, but the design of these calorimetric methods cannot withstand in-situ, downhole conditions.
With regard to the sampling space generally, the isolated section typically can have a maximum length of 12 (twelve) inches and though the isolated section can have a different length, such as for example 10 (ten). However, the length can vary above and below these lengths depending on the exact space constraints of individualized setups. The sampling space can further entail an outside pipe diameter of 1 (one) inch. Again, the outside diameter of the pipe can vary depending on the space constraints of the modified RDT module.
Heating elements or heat sources 310 and 410 can be of any known heating method that works within the in-situ drilling environment. The heating elements or heat sources can be, for example, a heat pump, heating tape, heating wiring, resistance based, laser flashing or radiant heat based, coiled induction heat based, or any kind of heat exchange based mechanism known in the art. The heating elements or heat sources can be placed outside the sampling environment, as shown in
The thermal sensors (340 for example) or temperature sensor (440 for example) can be any known temperature sensing device, examples of which are widely known and different temperature sensing devices have different sensitivities and properties that can be considered when choosing a specific model. Like the heating elements, the temperature sensing devices can be placed outside the sampling environment, in the center of the sampling environment, as shown by
When thermal properties are accurately known, it can enable better accuracy of measurement and enable improved well completion design and improved well production process. Further, well drilling parameters can be changed. Such parameters include rate of progress downhole, force exerted on the bit, speed of the bit, and other parameters known to those of skill in the art. Accordingly, knowing thermophysical properties, like heat capacity and thermal conductivity, and calculating these properties in-situ can enable improved drilling operation. Finally, the thermophysical properties can be measured and stored at the RTD module 220, or transmitted, via a telemetry system, to the surface for further calculations and actions based thereupon.
In one or more embodiments, the heating element can be made of any thermally conductive and electrically resistive material, such as metal or can include metal. Suitable metals include, but are not limited to, platinum (Pt), Pt-alloys, tungsten (W), and W-alloys. A preferred heating element can be protected with an electric insulating protecting layer for its application in the electric conductive fluid environment. This protecting layer can be a polymeric material, such as, but not limited to, polytetrafluoroethylene (PTFE), polyimide (PI), polyetherketone (PEEK), ultra-high molecular weight polyethylene, and combinations thereof. In one or more embodiments, the protecting material can have a thickness of 0.01 micrometer to 20 micrometers. In one or more embodiments, the protecting polymer material such as polyethylene can may have highly thermal conductivity.
In one or more embodiments, the thermal sensors described herein can be any device capable of detecting a change in fluid properties such as dynamic and steady temperatures and/or can be capable of detecting dynamic thermal response profile along the sensing array. Suitable thermal sensors can include thermocouple (TC) sensors, resistivity temperature detectors (RTD), platinum resistivity thermometors (PRT), fiber Bragg grating (FBG)-based sensors, and/or optical time domain reflectometer (OTDR)-based Brillouin distributed temperature sensors with centimeter spatial resolution. In one or more embodiments, fiber sensors from Micron Optics or from OZ Optics can be used due to their small size and intrinsic insulating properties.
As shown in
Q(0)=m(0)*Cp(0)*ΔT(0)=V*ρ(0)*Cp(0)*ΔT(0)
and for unknown fluid:
Q(f)=m(f)*CP(f)*ΔT(f)=V*ρ(f)*CP)(f)*ΔT(f)
Since Q(0)=Q(f), fluid heat capacity is:
Where ρ(f) is fluid density, which is measured with a “densitometer” or any other known density measurement tool.
After the fluid heat capacity has been measured, it can be used to identify gas, water, and oil. It can also be used to identify drilling fluid (mud) and mud filtrate. Heat capacity can also be used to analyze multi-phase fluids and to analyze hydrocarbon gas composition. For multi-component hydrocarbons the measured effective heat capacity is described by
Where i represents each hydrocarbon component; and effective heat capacity is a sum of all components with its fraction of xi under a specific pressure and temperature condition. Such an effective heat capacity is also closely related to the molecular weight of the hydrocarbon fluid mixture. Finally, to avoid long-term fouling and/or scaling issues, high-frequency thermal cycles can induce thermal stress that can assist in preventing fouling and/or scaling issues.
Referring to
At block 902 formation fluid is received through a fluid entrance port 533 into an annulus shaped, elongate body 320, 420 that defines a fluid sampling space 335, 435. The body and the sampling space have a common longitudinal center axis. Then, method 900 can proceed to block 904, where thermal energy is applied to the fluid sampling space 335, 435 by a heat source 310, 410. After which method 900 can proceed to block 906 where the temperature within the sampling space 335, 435 is measured by temperature sensing devices 340, 440, 442, 444 concentrically coupled to the body but radially separated from the heat source 310, 410. Finally, the method 900 can proceed to block 908 where the heat capacity is calculated for the formation fluid based on the measured temperature changes.
Further to the environmental context of a subterranean well depicted in
The embodiments shown and described above are only examples. Many details are often found in the art such as the other features of a logging system. Therefore, many such details are neither shown nor described. Even though numerous characteristics and advantages of the present technology have been set forth in the foregoing description, together with details of the structure and function of the present disclosure, the disclosure is illustrative only, and changes may be made in the detail, especially in matters of shape, size and arrangement of the parts within the principles of the present disclosure to the full extent indicated by the broad general meaning of the terms used in the attached claims. It will therefore be appreciated that the embodiments described above may be modified within the scope of the appended claims.
Filing Document | Filing Date | Country | Kind |
---|---|---|---|
PCT/US2014/022823 | 3/10/2014 | WO | 00 |
Publishing Document | Publishing Date | Country | Kind |
---|---|---|---|
WO2015/137917 | 9/17/2015 | WO | A |
Number | Name | Date | Kind |
---|---|---|---|
3807227 | Smith | Apr 1974 | A |
3864969 | Smith | Feb 1975 | A |
3938383 | Sayer | Feb 1976 | A |
4343181 | Poppendiek | Aug 1982 | A |
4575260 | Young | Mar 1986 | A |
4575261 | Berger et al. | Mar 1986 | A |
4848147 | Bailey et al. | Jul 1989 | A |
4944035 | Aagardl et al. | Jul 1990 | A |
5159569 | Xu et al. | Oct 1992 | A |
5226333 | Hess | Jul 1993 | A |
5251479 | Siegfried et al. | Oct 1993 | A |
5348394 | Hori et al. | Sep 1994 | A |
5610331 | Georgi | Mar 1997 | A |
5988875 | Gershfeld et al. | Nov 1999 | A |
6132083 | Enala | Oct 2000 | A |
6497279 | Williams | Dec 2002 | B1 |
6877332 | DiFoggio | Apr 2005 | B2 |
7086484 | Smith | Aug 2006 | B2 |
7526953 | Goodwin et al. | May 2009 | B2 |
7717172 | Sonne | May 2010 | B2 |
7798220 | Vinegar | Sep 2010 | B2 |
7804296 | Flaum et al. | Sep 2010 | B2 |
7937999 | Blanz et al. | May 2011 | B2 |
8122951 | Fukuhara et al. | Feb 2012 | B2 |
8240378 | Sonne et al. | Aug 2012 | B2 |
8453732 | Sonne et al. | Jun 2013 | B2 |
20050002435 | Hashimoto et al. | Jan 2005 | A1 |
20070119244 | Goodwin et al. | May 2007 | A1 |
20100006284 | Sonne | Jan 2010 | A1 |
20100027581 | Sasaoka | Feb 2010 | A1 |
20100228502 | Atherton | Sep 2010 | A1 |
20110272150 | Ives et al. | Nov 2011 | A1 |
Number | Date | Country |
---|---|---|
810892 | Mar 1959 | GB |
58202863 | Nov 1983 | JP |
2011044489 | Apr 2011 | WO |
WO2012023758 | Feb 2012 | WO |
Entry |
---|
Chiasson, Andrew; “Thermal Response Testing of Geothermal Wells for Downhole Heat Exchanger Applications”; Jan. 30-Feb. 1, 2012. |
GHC Bulletin, Andrew D. Chiasson, Geo-Heat Center, Oregon Institute of Technology, Klamath Falls, Oregon, May 2012. |
Hashem, Mohamed et al.; “Wireline Formation Testers”; Uses Beyond Pressure and Fluid Samples—a Viable Replacement of Production Tests; https://www.onepetro.org/conference-paper/SPWLA-2002-XX; 2002. |
Desbrandes, Robert; “Formation Evaluation using In-situ Measurements of Formation Thermal Properties”; vol. 32, No. 2; https://www.onepetro.org/journal-paper/SPWLA-1991-v32n2a6; Mar.-Apr. 1991; retrieved on Nov. 3, 2013. |
Prensky, Stephen “Temperature Measurement in Boreholes: An Overview of Engineering and Scientific Applications”; published on Dec. 31, 1992. |
The International Search Report and Written Opinion dated Dec. 5, 2014; in corresponding PCT patent application No. PCT/US2010/022823. |
Number | Date | Country | |
---|---|---|---|
20160259084 A1 | Sep 2016 | US |