The present disclosure relates in general to well drilling and, more particularly, to a method for determining spacing of hydraulic fractures in a rock formation.
Hydrocarbon (e.g., oil, natural gas, etc.) reservoirs may be found in geologic formations that have little to no porosity (e.g., shale, sandstone etc.). The hydrocarbons may be trapped within fractures and pore spaces of the formation. Additionally, the hydrocarbons may be adsorbed onto organic material of the shale formation. The rapid development of extracting hydrocarbons from these unconventional reservoirs can be tied to the combination of horizontal drilling and hydraulic fracturing (“fracing”) of the formations. Horizontal drilling has allowed for drilling along and within hydrocarbon reservoirs of a formation to better capture the hydrocarbons trapped within the reservoirs. Additionally, more hydrocarbons may be captured by increasing the number of fractures in the formation and/or increasing the size of already present fractures through fracing. The spacing between fractures as well as the ability to stimulate the fractures naturally present in the rock may be major factors in the success of horizontal completions in unconventional hydrocarbon reservoirs.
In one embodiment, a method is disclosed comprising determining an expected trajectory of induced fractures, analyzing net pressure associated with the induced fractures, and determining at least one of spacing of induced fractures and a property of the induced fractures based on the net pressure. Computer-readable medium containing the same are also disclosed.
In an alternative embodiment, a method of optimizing fracture spacing is disclosed. The method includes propagating an initial fracture, measuring pressure associated with propagating the initial fracture, determining a minimum spacing required to prevent a second fracture from intersecting the initial fracture, and propagating the second fracture at least the minimum spacing distance away from the initial fracture.
In other embodiments, also disclosed is a method of optimizing fracture spacing. The method includes analyzing stresses associated with a first set of at least one fractures associated with a first well, analyzing stresses associated with a second set of at least one fractures associated with a second well, and determining spacing of a fracture associated with a third well such that the fracture associated with the third well does not intersect with the first set and the second set of fractures, the third well running between the first and second wells.
In still other embodiments, also disclosed is a method of determining maximum horizontal pressure. The method includes measuring an actual pressure during each stage of fracturing of a rock formation, determining a theoretical expected pressure during each stage of fracturing of the rock formation, and determining a maximum horizontal pressure of the rock formation based at least on a comparison of the theoretical expected pressure and the measured actual pressure.
a and 2b illustrate examples of the reorientation of stresses in a rock formation due to the placement of a fracture orthogonal to a horizontal well according to some embodiments of the present disclosure;
a and 13b illustrate the impact of fracture spacing on the angle of deviation of the fractures from the orthogonal path, according to some embodiments of the present disclosure;
a and 15b illustrate the horizontal stress of a rock formation with a stress reversal region associated with a fracture, according to some embodiments of the present disclosure;
a and 16b illustrate the differences between performing consecutive fracturing and alternate fracturing, according to some embodiments of the present disclosure;
a and 17b illustrate the stress orientation of a rock formation with stress reversal regions associated with a first fracture and a second fracture, according to some embodiments of the present disclosure;
a and 21b illustrate the stress distribution between two pairs of fractures propagated from outside lateral wells, according to some embodiments of the present disclosure;
Shale formation 102 may produce natural gas that is trapped in fractures and pore spaces of shale formation 102. The natural gas may also be adsorbed in organic material included in the shale of shale formation 102. As well bore 104 runs through shale formation 102, well bore 104 may also run through fractures (not expressly shown) of shale formation 102. The gas in the fractures may enter well bore 104 and may accordingly be retrieved at a drilling rig 106 of well 100. As gas leaves the fractures of shale formation 102, the gas adsorbed on the organic material may be released into the fractures such that the adsorbed gas may also be retrieved. As the number of fractures of shale formation 102 that well bore 104 passes through increases, the amount of gas that may be produced by well 100 may also increase. Therefore, increasing the number of fractures in shale formation 102 along well bore 104 may increase the gas production of well 100.
The number and/or size of fractures in shale formation 102 may be increased using hydraulic fracturing (“fracing”). Fracing may refer to any process used to initiate and propagate a fracture in a rock formation. Additionally fracing may be used to increase existing fractures in a rock formation. Fracing may include forcing a hydraulic fluid in a fracture of a rock formation to increase the size of the fracture and introducing proppant (e.g., sand) in the newly induced fracture to keep the fracture open. The fracture may be an existing fracture in the formation, or may be initiated using a variety of techniques known in the art. The amount of pressure needed to extend and propagate the fracture may be referred to as the “fracturing pressure.”
As shown in further detail with respect to
As disclosed in further detail below, the spacing of performing fracturing operations for a hydrocarbon well, such as gas well 100, may be determined using net pressure measurements to determine a minimum frac spacing that also reduces the likelihood of subsequent fractures intersecting and interfering with previous fractures. In some instances, net pressure may be determined by surface pressures or down-hole pressures during fracturing. Therefore, the selection of fracture spacing may be such that the number of fractures initiated from a horizontal wellbore may be increased while also reducing the likelihood that the fractures may interfere and/or intersect with each other to allow for better production rates and depletion of hydrocarbons with each induced fracture. Therefore, the economic efficiency of fracturing may be improved and the cost of retrieving hydrocarbons from tight rock formations (e.g., shale formation 102) may be reduced.
Modifications, additions or omissions may be made to
a and 2b illustrate examples of the reorientation of stresses in a rock formation due to the placement of a fracture orthogonal (or transverse) to a horizontal well according to some embodiments of the present disclosure. The opening of a propped transverse fracture in horizontal wells through hydraulic fracturing may cause a reorientation of stresses in the rock formation surrounding the fracture.
a may represent the stress of the rock formation in a horizontal plane (e.g., a plane substantially parallel to the ground. Accordingly, the vertical axis of
The degree of reorientation of the stress with respect to the in-situ direction of the maximum horizontal stress may be expressed as an angle from the in-situ direction of stress.
Outside of the stress reversal region, the stresses may still be at an orientation that is not parallel with the maximum horizontal stress of the rock formation. For example, the direction of maximum horizontal stress in
The reorientation of stresses may in turn affect the direction of propagation of subsequent fractures. For example, performing fracturing within the stress reversal region of fracture 202 of
The bounding layers 306a and 306b may have mechanical properties (Eb, vb) differing from the mechanical properties of pay zone 304 (Ep, vp). In the present example, fracture 302 may be modeled using a numerical model and may have a length in the direction of the x-axis that is equal to 2Lf, may have a height in the z-direction that is equal to 2hf and may also have width in the y-direction that is not shown.
The mechanical behavior of the continuous three-dimensional medium of shale formation 300 may be described mathematically by the equations of equilibrium Eq. (1), the definition of strain Eq. (2) and the constitutive equations Eq. (3). The algebraic system of 15 equations for 15 unknowns (6 components of stress σ and strain ε, plus the 3 components of the velocity vector v) may be solved at each node using an explicit, finite difference numerical scheme. The Einstein summation convention may apply to indices i, j and k, which take the values 1, 2, 3:
Pay zone 304 may be homogeneous, isotropic, and purely elastic. Hooke's law relates the components of the strain and stress tensors (constitutive equation):
Where,
and
The impacts of poroelastic effects on the stress reorientation around a producing transverse fracture may be ignored in the present example because of the very low permeability of shale and the small amount of fluid leak-off during fracturing. However, in other models of other rock formations, the poroelastic effects may be determined and included.
Shale formation 300 and fracture 302 may also be modeled using a variety of boundary conditions. Displacement along the faces of fracture 302 may be allowed where a constant stress, equal to the net pressure, pnet, plus the minimum in-situ horizontal stress σhmin, is imposed on the faces of fracture 302 to create fracture 302, or in the present example, to simulate and model the creation of fracture 302. Therefore, the size (e.g., width, length, height) of fracture 302 may partially be a function of pnet.
At the end of the fracturing process, fracture 302 may close down on proppant (e.g., sand), which keeps fracture 302 open. The width of the propped-open fracture may depend on the fractured length and the amount of proppant pumped during the fracturing process. The uniform stress boundary condition applied on the fracture face is approximately equal to the pressure required for the proppant to maintain an opening of maximum width w0. This pressure value may be smaller than the pressure required to propagate a hydraulic fracture in the same rock. To simulate a large enough reservoir volume and avoid boundary effects, the far-field boundaries may be placed at a distance from the fracture equal to at least three times the fracture half-length Lf. A constant stress boundary condition normal to the “block” faces is applied at outside boundaries. In-situ stresses are initialized prior to the opening of the fracture:
Following modeling of the first fracture, subsequent fractures may also be modeled. After the first fracture is created, its geometry may be represented as being fixed (e.g., no further displacement is allowed). In the present example, it may be assumed that the compression of the proppant placed inside the previous fractures is negligible as subsequent fractures are opened. Subsequent transverse fractures may be modeled using boundary conditions similar to the first fracture as described above.
The net pressure required to achieve a specified fracture width may increase with each additional fracture. An iterative process may be programmed in order to determine for each fracture, the net pressure corresponding to a given maximum fracture width w0. The evolution of the net closure stress in the sequential fracturing of a horizontal well is described further below.
Traditional fracture modeling methods may model fractures perfectly orthogonal to the horizontal wells. However, in order to better quantify the evolution of the direction of propagation of consecutive transverse fractures, it may be advantageous to model subsequent fractures as deviating from the orthogonal path due to the stress reorientation that may be caused by previous fractures.
Model simplifications may be made in order to tackle this problem. As opposed to perfectly orthogonal fractures, multiple inclined fractures are challenging to model on a single numerical mesh. In a finite difference model, the geometry of all fractures may be set from the beginning, which may be very difficult, as the angle of propagation of the subsequent transverse fracture may depend on the mechanical stress perturbation generated by the previous fractures. This may require a complex and time consuming re-meshing after every single fracture stage.
Accordingly, for a more a simplified approach, in the present example, the net closure stress and the propagation direction may be calculated based on the mechanical stress interference of only the previous fracture.
p
net
n+1
+p
net
1+Δσyyn(sf) (5)
Based on the stress distribution around a transverse fracture, the trajectory of the subsequent fracture may be approximated by assuming that it will follow the direction of maximum horizontal stress. This may be done by determining the direction of the maximum horizontal stress at one point and having the fracture propagate in that direction. Then, the direction of the maximum horizontal stress may be calculated at another point along the trajectory of the propagation from the previous point and so on to approximate a trajectory for the subsequent fracture as shown for fracture (n+1) of
A determined average angle of deviation may be seen in fracture (n) of
As mentioned above, the propagation direction of subsequent fractures may be a function of the location of the subsequent fracture with respect to areas of the rock formation that have experienced stress reorientation caused by propagating previous fractures. Accordingly, the spacing between a previous fracture and a subsequent fracture may influence the propagation direction of the subsequent fracture.
Additionally, it may be noted that to calculate the trajectory of fractures 4, 7 and 10, a two-fracture system may be simulated to calculate the stress distribution of the rock formation. For example, because the fracture 3 may intersect with fracture 2, the stress distribution that may affect the fracture 4 may be modeled based on both the fractures 2 and 3. The stress distribution around the fracture system with respect to the fractures 2 and 3 is shown in
a and 13b illustrate the impact of fracture spacing on the angle of deviation of the fractures from the orthogonal path. Below a critical value of the fracture spacing, the efficiency of fracturing stages may be negatively affected as shown by the large variations in deviation angles with respect to spacings 250, 200 and 150 feet apart. Accordingly, the gain in reservoir drainage at these spacings may be marginal compared to the additional cost represented by an increased number of fracture stages. This result suggests that because of mechanical stress interference, spacing transverse fractures ever closer to each other may not be a desirable completion strategy.
Counting the number of times the net fracturing pressure decreases from one stage to another, may indicate the number of unsuccessful fracture stages identified in
Therefore, as an example, in the case of the smallest spacing, while the designed value is 150 ft., the effective spacing may only equal to 300 ft., as every other fracture may be longitudinal with respect to the wellbore. Accordingly, doubling the number of stages for 150 ft. spacing compared to the 300 ft. spacing may grant very little improvement in well production.
Thus, as shown above, modeling deviation from the orthogonal path for fractures may reveal a new up-and-down trend in the evolution of the net closure stress. This up and down trend may indicate that the spacing between fractures may be too close to generate any improvement in well production. Therefore, the net closure stress at various spacings may be analyzed to determine the closest spacing that may not yield an up and down net pressure such that optimal spacing of fractures may be determined. Additionally, to determine the proper net closure stress, the propagation direction of each fracture may be estimated instead of assuming that the propagation direction is orthogonal to the well as is traditionally done.
Fracture spacing may also be determined by analyzing the stress reversal region associated with a previous fracture and by initiating the subsequent fracture outside of the stress reversal region. For example,
Further,
The above example illustrates how analyzing the size of the stress reversal region may be used to determine the spacing of fractures when the fractures are initiated consecutively, however, the spacing of fractures initiated alternately may also be determined by analyzing the stress reversal region associated with fractures.
a and 17b illustrate the stress orientation of a rock formation 1700 with stress reversal regions 1701 and 1702 associated with a fracture “1” and fracture “2” respectively. In the present example, fractures “1” and “2” may be placed approximately 650 ft. from each other.
Additionally, by analyzing the stress profile of rock formation 1700 due to fractures “1” and “2,” it can be seen that the stress reorientation caused by fractures “1” and “2” may substantially cancel each other out such that fracture “3” may propagate in a substantially orthogonal path equidistant from fractures “1” and “2”. Accordingly, the advantages of alternate fracturing may be further illustrated and supported by analyzing the stress reversal regions.
The impact of fracture sequencing may also affect fracture complexity. Hydraulic fracture interaction with pre-existing natural fractures may be a function of a term called the relative net pressure Rn. This parameter may be inversely proportional to the local deviatoric stress in which the fracture propagates as shown below in Equation (6).
High values of the relative net pressure Rn may favor fracture path complexity. Thus, a hydraulic fracture propagating in a region of low stress contrast may create larger networks of interconnected fractures. By calculating the local stress contrast experienced by a propagating fracture, the propensity of the alternate fracturing sequence to generate fracture complexity may be quantified and compared to the more conventional fracturing approach. The average value of the stress contrast seen by a propagating middle fracture in the alternate fracturing sequence may be measured for different values of the spacing between the outside fractures (2sf). In the present example,
A comparison of the local stress contrast seen by a fracture along its direction of propagation, in the consecutive and alternate fracture sequence, demonstrates improvement in generating fracture complexity using alternate fracturing versus consecutive fracturing.
Analysis of the stress experienced by rock formations may also be used to determine fracture spacing with respect to multiple horizontal lateral wells.
The wells of
The spacing between fractures in such multi-lateral sequences may be determined by analyzing the stress distribution (e.g., stress reversal regions) associated with the fractures. For example, the stress distribution between two pairs of fractures (e.g., fractures “1” and “2” of well HW1 and fractures “1′” and “2′” of well HW3 of
When considering refracturing the center lateral, the direction of maximum horizontal stress may still allow propagation of a transverse fracture. For example, the distance of transverse propagation, Ltransverse, of fracture “3” of HW2 may be at a maximum at mid-distance from the previous fractures and may be function of not only the spacing between the outside fractures but also the inter-well spacing (sw). The zone of transverse fracture propagation can also be identified when plotting the angle of stress reorientation as shown in
Ltransverse may also increase with the spacing between the outside fractures (sf). Transverse fracture propagation may not be affected if the fracture spacing is at least equal to twice the minimum fracture spacing in the alternate fracturing sequence (2sf=650 ft). In this case, the stress reorientation angle may be equal to zero everywhere along a line equidistant from the outside fractures.
Looking back at
Finally, the optimum multi-lateral completion strategy in the present example of a typical Barnett shale gas well may be summarized below:
The predicted values of the transverse fracture propagation and average stress contrast for the middle fracture are:
We can finally note that while a 650-ft. spacing may not be practical in some alternate fracturing sequence (e.g., when the refracturing interval may only be 20-ft. wide), this spacing may suffice in a multi-lateral completion. In the latter case, the middle fracture may be initiated from the middle well (and not from the outside well), where the refracturing interval is wide enough to allow fracture initiation from multiple perforation clusters.
Therefore, by analyzing the stress reorientation regions of rock formations due to fracturing operations, the spacing of the fractures may be determined to improve production from wells, while also improving the efficiency of each fracturing operation. Such stress reorientation analysis may be used for consecutive fracturing, for alternate fracturing and/or for multiple horizontal fracturing operations.
Further, the in-situ stress contrast, which is the difference between the maximum horizontal stress and the minimum horizontal stress, may influence the stress interference created by multiple consecutive fractures, including fracture intersection. As a result, the evolution of the fracturing pressures during multi-stage fracturing of horizontal wells may be impacted by the in-situ stress contrast, just like it is impacted by the fracture spacing (e.g., as shown in
Although the minimum horizontal stress may be easily obtained from a mini-frac test, the maximum horizontal stress may be more difficult to evaluate in the field. Knowing the value of the maximum horizontal stress may prove useful in modeling multiple engineering problems in the oil and gas industry, including hydraulic fracturing and wellbore stability and sand production issues.
The proposed method may be used to calculate the evolution of the net closure stress in a given well for different values of the maximum horizontal stress. By comparing the calculated pressure profiles to the field-measured fracturing pressures, the value of the maximum horizontal stress may be determined for the well in question.
Modifications, additions and omissions may be made to the above FIGURES without departing from the scope of the present disclosure. For example, the above models and FIGURES have been described with respect to specific rock properties and fracture sizes for illustrative purposes only. The principles described above may be used for any other suitable rock formation.
Additionally, it is also understood that the stress redistribution of a rock formation caused by propagating a fracture may also be a function of the induced fracture length, fracture width, fluid rheology and the injection rates associated with propagating the fracture. As mentioned above, the propagation of subsequent fractures may be a function of the stress redistribution caused by previous fractures. Therefore, the analysis described above may also be used to determine one or more of the above mentioned properties to better improve fracturing efficiency. For example, in some instances for a particular fracture size, the determined optimal spacing may be too far apart. Accordingly, the spacing may be set at a fixed value and another factor that may affect stress reorientation (e.g., fracture width) may be modified. The stress reorientation, and the propagation and net closure stress of consecutive fractures may be calculated for different values of the fracture width such that an optimum width of the fractures may be determined.
This application claims benefit under 35 U.S.C. §119(e) of U.S. Provisional Application Ser. No. 61/501,003, entitled “METHOD FOR DETERMINING SPACING OF HYDRAULIC FRACTURES IN A ROCK FORMATION,” filed Jun. 24, 2011, the entire content of which is incorporated herein by reference.
This invention was made with government support under DE-AC26-07NT42677 awarded by The Department of Energy. The United States Government has certain rights in the invention.
Number | Date | Country | |
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61501003 | Jun 2011 | US |