SYSTEM FOR DETERMINING FORMATION STRESSES USING DRILL CUTTINGS
20170370193 · 2017-12-28
Assignee
Inventors
Cpc classification
E21B49/005
FIXED CONSTRUCTIONS
G01N3/42
PHYSICS
International classification
E21B43/119
FIXED CONSTRUCTIONS
Abstract
Utilizing multiple rock cores samples obtained while drilling a well to determine the mechanical properties of the rock constituting the wellbore and formation zones within the wellbore. A geomechanical model is created from the samples by nanoindentation testing to provide the raw data from which the geomechanical model is then created.
Claims
1. A method of wellbore modeling comprising: obtaining at least two rock samples from a wellbore; mounting the rock samples in an epoxy; dividing the rock samples into at least two sample chips; testing the sample chips; wherein the sample chips are tested by nanoindentation to obtain the raw data; subjecting the raw data to analytical methods to determine a Young's modulus in the vertical and horizontal planes; subjecting the raw data to analytical methods to determine a breakdown pressure for a zone within a well; determining a perforation zone based upon the breakdown pressure of the zone within the well.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
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DETAILED DESCRIPTION
[0025] The description that follows includes exemplary apparatus, methods, techniques, or instruction sequences that embody techniques of the inventive subject matter. However, it is understood that the described embodiments may be practiced without these specific details.
[0026] In an embodiment of the invention an optical microscope is used to select locations in the sample that are suitable for testing. Indentations are made on the prepared sample surface under programmed force-displacement control. Continuous measurements of force and displacement are made during a series of loading, loading-holding, and unloading stages. Digital images from both before and after indentation are utilized to aid in data analysis and data reduction.
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[0028] Where H is the sample hardness, P.sub.Max is the maximum indentation load, and A.sub.c is the contact area under the indenter at peak load. The elastic modulus of the sample is found by analyzing the unloading curve as follows:
[0029] Where E.sub.app is the apparent modulus of the sample, dP/dh is the slope of the unloading curve 12, v is Poisson's ratio, E is the sample Young's modulus, v.sub.i is the Poisson's ratio of the indenter tip, and E.sub.i is the Young's modulus of the indenter tip. The testing process is repeated numerous times across the sample surface producing an array of load-hold-unload curves and a corresponding distribution of mechanical property data as is shown in
[0030] In
[0031] The force displacement curves in
[0032] Generally, the most accurate surface preparation of a sample is accomplished by ion beam milling. However, ion beam milling preparations add hours per sample to the preparation time of each sample making it difficult to gain useful data in a real time drilling operation. Therefore, it was determined that there is a need to reduce the testing and analysis time involved so that the data could be used during drilling and in the completions design decision process after drilling.
[0033] The initial surface preparation of the samples used a dry 0.05 μm mechanical polisher rather than ion beam milling. The dry mechanical polishing method provided a surface smoothness (0.05 μm) whereas given the particular sample utilized experienced indentation depths of between 2 and 4 μm.
[0034] The surface roughness of a 1 inch diameter plug-end following surface grinding was measured using an optical profileometer and data was analyzed for surface roughness qualification. The analysis showed an approximately normal distribution of surface elevations with a range of about 10 μm as is shown in
[0035] In
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[0037] The data analysis of each of the load-hold-unload curves, as shown by each curve's respective reference numeral 50, 52, 54, 56, 58, 60, 62, 64, and 66 from
[0038] In another series of tests, it was seen that the scale of heterogeneity present in rocks can potentially be very wide. A series of indentation measurements were conducted on various rock bases with known fabric using core from producing areas of the Eagleford formation in South Texas, the Wolf Camp formation of the Permian basin, and the Montney Formation of northeastern British Columbia, Canada. All core tests in the study were performed at mean effective stress confinement conditions unless stated otherwise.
[0039] The faces with the greatest heterogeneity, in terms of size scale of its fabric, was a bioclastic mudstone with bituminous laminae from the WolfCamp Formation. Core plugs from these bases were tested for elastic mechanical properties, with plug end-cuts prepared for indentation testing and pictographic analysis. Parallel test lines of indentations were run across plug end-cuts with different spacings between the indentation points.
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[0042] For this particular lighological facies it was determined that the reliability of mechanical characterization by indentation testing was relatively insensitive to the spacing between indentation tests. A spacing of 0.1 mm can be considered a lower limit of recommended spacing given the 0.02 mm residual indent cross-sectional distance after unloading. Under similar conditions closer spaced indents would be at risk of having overlapping regions of plastic strain.
[0043] An upper limit to the spacing between indentations is then imposed by the size of the drill cuttings and the corresponding number of indentations that can be performed across a given drill cutting. The upper limit to the spacing between indentations may be several millimeters.
[0044] An embodiment of the current invention obtains rock mechanical property data from drill cuttings where the rock mechanical property data is of sufficient resolution to analyze the fracture initiation and perforation efficiency of the formation. In this embodiment, one-dimensional geomechanical models of horizontal wellbores are constructed from data obtained from drill cuttings. Typically, the data has been calibrated to a core plug measurement from the vertical section of the well or the core plug measurement of another well in the same well pad. Data calibration is generally on an empirical basis with core plug tests being considered the “ground truth” data. The calibrated models are then used to predict the lateral variability of fracturing parameters along the wellbore.
[0045] Analytical methods of predicting tensile fracture initiation at a borehole wall due to increased wellbore pressure are useful for analyzing the breakdown pressure problem for horizontal open hole completions. The driving factor in fracture initiation is the magnitude of tangential stress which must be overcome by pressuring a section of the wellbore. Expressions for the tangential stress component of the breakdown criteria take the form of the equation:
σ′.sub.θ=Aσ′.sub.θ,A+Bσ′.sub.θ,B+Cσ′.sub.θ,pw
[0046] This expression accounts for the influence of rock anisotropy on the variation of tangential stress with angular position by introducing the coefficients A, B, and C. In the case of anisotropic rock mechanical properties these coefficients are functions of the rock stiffness matrix components and replace the 3, −1, and −1 of the Kirsch solution for stresses at a wellbore wall. The Kirsch solution is:
σ′.sub.θ(0,180)=3σ′.sub.horiz−1σ′.sub.vert−Δp.sub.w
[0047] Where, Δp.sub.w refers to the over balance pressure in the wellbore, and where subscripts “zero” and “180” refer to locations at the top and bottom of the wellbore wall respectively. For a low viscosity water-based fluid system and rock with permeability less than about 0.001 mD, or with perfect mud caked pressure isolation, the problem can be analyzed with the static mechanical analysis. To initiate a tensile fracture and isolated section of the wellbore must be pressurized such that the tangential stress is reduced to below the tensile strength of the rock. For transversely isotropic rock this over balance condition is described as:
[0048] Again A, B, and C are functions of angular position around the wellbore and of the components of the rock elastic stiffness matrix. For vertical transverse isotropic rock fabric A, B, and C may be determined by:
A,B,C=f(E.sub.v,E.sub.h,v.sub.v,v.sub.h,G.sub.vh)
[0049] Generally each of these 5 elastic properties are characterized using core plug data. Indentation measurements are made to obtain elastic moduli in bedding-parallel in bedding-perpendicular directions as previously described. Values of E.sub.v and E.sub.h are then used to calculate an approximate G.sub.vh by invoking St. Venant's principal whereby shear stress concentration near a load boundary can be ignored when evaluating the stress state away from the load boundary such that:
[0050] This approach provides a good first-order approximation of shear modulus in the plane of isotropy from elastic properties measured parallel and perpendicular to the plane of isotropy.
[0051] The anisotropic rock model response of the wellbore wall to far field stresses and to wellbore pressure is influenced by the elastic properties of the rock. In particular for VTI anisotropic rock, tangential stress at the wellbore wall is partitioned by the rock fabric. The magnitude of the stress partitioning is proportional to the ratio of horizontal to vertical Young's modulus, Eh:Ev. This approximation provides a convenient way to use indentation measurements to calculate stress partitioning of VTI rock fabric around a borehole.
[0052] In another test, cutting samples were collected during the drilling of four wells in the Eagleford of South Texas. Samples were collected every 5 to 10 m while drilling and were evaluated following the procedures described previously. Rock mechanical property data from the cuttings were calibrated to core data in the vertical sections of two wells. An evaluation of in situ stress for a single zone from the samples collected in the Eagleford is shown in
[0053] For an anisotropic rock form of the near wellbore stress equations it is assumed that the principal stress conditions are constant. Therefore, changes in hoop stress along the well and thus changes in the breakdown pressure along well are primarily a function of rock property anisotropy and its effect on the partitioning of tangential stress. For the 1D model parameters given in
[0054] A section of a simple 1D model, from
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[0056] In
[0057] By moving the stage and perforation locations by 10 m as indicated by moving the stage from stripe 98 to stripe 99 the likelihood of each perforation performing as designed increases due to the rock within each stage having relatively uniform mechanical qualities. The relatively uniform mechanical qualities increases the likelihood of evenly distributed open perforation's across the stage enhancing the ability to place the fluid and proppant as desired.
[0058] In the event that potential breakdown pressure reductions in the range of 5 MPa is less important than ensuring even distribution of contravening perforations at each stage a more effective measure would be to avoid the stage indicated by stripe 99.
[0059] The methods and materials described as being used in a particular embodiment may be used in any other embodiment. While the embodiments are described with reference to various implementations and exploitations, it will be understood that these embodiments are illustrative and that the scope of the inventive subject matter is not limited to them. Many variations, modifications, additions and improvements are possible.
[0060] Plural instances may be provided for components, operations or structures described herein as a single instance. In general, structures and functionality presented as separate components in the exemplary configurations may be implemented as a combined structure or component. Similarly, structures and functionality presented as a single component may be implemented as separate components. These and other variations, modifications, additions, and improvements may fall within the scope of the inventive subject matter.