WO2014023916A1 - Procede d'assistance a la modelisation geologique par regroupements de mailles - Google Patents
Procede d'assistance a la modelisation geologique par regroupements de mailles Download PDFInfo
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- WO2014023916A1 WO2014023916A1 PCT/FR2013/051900 FR2013051900W WO2014023916A1 WO 2014023916 A1 WO2014023916 A1 WO 2014023916A1 FR 2013051900 W FR2013051900 W FR 2013051900W WO 2014023916 A1 WO2014023916 A1 WO 2014023916A1
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- Prior art keywords
- column
- meshes
- determined
- value
- decompositions
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- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 107
- 239000006185 dispersion Substances 0.000 claims abstract description 42
- 239000002689 soil Substances 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 6
- 239000000203 mixture Substances 0.000 abstract description 2
- 230000006870 function Effects 0.000 description 22
- 238000004088 simulation Methods 0.000 description 8
- 238000012935 Averaging Methods 0.000 description 3
- 239000003921 oil Substances 0.000 description 3
- 208000035126 Facies Diseases 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 230000035699 permeability Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 229910021532 Calcite Inorganic materials 0.000 description 1
- 239000004215 Carbon black (E152) Substances 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000003042 antagnostic effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- BTCSSZJGUNDROE-UHFFFAOYSA-N gamma-aminobutyric acid Chemical compound NCCCC(O)=O BTCSSZJGUNDROE-UHFFFAOYSA-N 0.000 description 1
- 229930195733 hydrocarbon Natural products 0.000 description 1
- 150000002430 hydrocarbons Chemical class 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 229910052710 silicon Inorganic materials 0.000 description 1
- 239000010703 silicon Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V20/00—Geomodelling in general
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
Definitions
- the present invention relates to the field of computerized simulation of data in a mesh model, particularly the field of computerized simulation of data representing geological information.
- the number of meshes of such models can be close to several million when creating fine models. With current technologies, it is not always possible to use these fine models in dynamic simulations, as flow simulators can hardly handle models exceeding 500,000 meshes.
- geologists and reservoir engineers simplify these models to reduce the number of meshes while preserving at best the information they possess: rough models are then obtained.
- the present invention improves the situation.
- the present invention proposes to combine the constraints of geologists and reservoir engineers and to propose several optimized solutions of mesh groupings in order to reduce the final number of meshes of the model.
- the present invention thus aims at a method of grouping meshes in a one to three-dimensional meshed geological model, the geological model comprising a plurality of meshes, and each cell of said model being associated with at least one numerical parameter representing a geological property.
- the method comprises the steps: for at least one column of at least n stitches of the model:
- a2 / determining a dispersion value of said decomposition as a function, at least, of the new numerical parameters associated with said subsets determined in step a1 /;
- n is a strictly positive integer.
- geological property refers to any physical property of a soil related to its composition, structure, evolution, etc. By way of illustration, this property may correspond to the type of majority facies of the soil corresponding to said mesh. In addition, this property may correspond to the porosity of the soil, whether or not there is fracture, the direction of flow, etc. soil corresponding to said mesh.
- a column can be constituted in the z direction of a set of cubic meshes "stacked" on top of each other, vertically. It may be advantageous for the position of this column in the model to correspond to the position of a wellbore.
- a "subset of adjacent meshes" is a set of meshes each having at least one face in common with one of the other meshes.
- the decomposition determined does not comprise a subset of disjoint meshes and may allow the subsequent creation of a new model having coarse meshes corresponding to these subsets.
- the "new numerical parameter of a subset" can be determined, for example, by averaging, weighted averaging, thresholding, etc. different numeric parameters associated with the meshes of this subset.
- the "dispersion value of a decomposition" can be determined, for example, by calculating the variance of the new numerical parameters of the subsets of this decomposition.
- the geologist and the reservoir engineer try to optimize a certain number of sometimes antagonistic parameters and the provision of these decompositions as well as their dispersion values can allow them to perform such arbitration.
- This arbitration can be, by way of illustration, an arbitration between the simulation times related to the number of meshes of the model and the accuracy of the simulation related to the proximity of the model to the geological reality (which can depend on the dispersion value) .
- the method may further comprise:
- step b ordering said decompositions provided in step b / according to the dispersion value determined for each of the decompositions;
- Classification of the decompositions according to the determined dispersion value may allow the final operator to simplify his arbitration by allowing him to select the target decomposition more quickly according to his objectives (for example, the speed of simulation and / or the accuracy) .
- each decomposition determined for one of the plurality of columns can have a homologous decomposition in each of the other columns.
- the method may further include:
- a model may include several columns representing these wells.
- decomposition homologous to a decomposition of a column a representation decomposition identical to a decomposition in another column.
- a decomposition in a first column can group the first three meshes of this column into a first subset, then the next ten meshes into a second subset, and so on.
- the decomposition homologous to this decomposition then comprises the same groupings, but on a second distinct column: the first three meshes of this second column in a first subset, then the next ten meshes of the second column in a second subset, etc.
- This correction can make it possible to better account for the geological reality of the soil and thus allow better arbitrations to be made between different coarse meshes. Indeed, it may be possible to choose a decomposition (and therefore a new mesh of a coarse model) among the decompositions having the best dispersion value and this for a majority of columns among the columns of the model.
- This correction can consist in assigning the same dispersion value to all the columns for the homologous decompositions.
- This same value may, for example, be the average of the dispersion values of the homologous decompositions of the different columns or be one of the dispersion values of the columns.
- each column having an importance parameter the dispersion value of each decomposition can be a function of said importance parameter of the column.
- An "importance parameter” is a parameter that can be used to weight the importance of certain wells and thus the columns of meshes associated with these wellbores.
- this significance parameter may be a function of well flow, well capacity prediction, well size (main well, secondary wells, etc.).
- all possible decompositions of the column can be determined in step a /.
- each cell of the column may be associated with a value (for example numeric) completion value representing a degree of completion of the mesh.
- the plurality of decompositions can be determined in step a / so that the completion value of each cell of each of the m subsets can be different from the completion values of the other cells of the same subset of the subset. plus a determined threshold.
- the decomposition has two groupings (the first subset corresponding to the first ten meshes of the column and the second subset corresponding to the other meshes of the column), the difference in maximum completion values between two meshes of the column. first subset does not exceed this threshold.
- the determined threshold may be less than half the difference between the highest completion value and the smallest completion value associated with the cells of the column.
- the threshold is less than 5.
- the decomposition can correspond to the grouping of the first three meshes (because the difference of the values 1, 3, 2 is at most 2, ie a difference of less than 5), following two (because the difference of the values 9, 8 is at the maximum of 1, ie a difference of less than 5) and of the following three (because the difference of the values 1, 5, 3 is at most 4, ie a difference less than 5).
- the decomposition can not correspond to the grouping of the first 4 meshes (because the difference of the values 1, 3, 2, 9 is maximum of 8, ie a difference greater than 5), and of the following four meshes (because the difference between the values 8, 1, 5, 3 is at most 7, ie a difference greater than 5).
- the geological model may be a two or three-dimensional mesh model, and each cell of each column may be associated with a completion value representing a degree of completion of the mesh.
- each cell of the first column can be associated with a completion value associated with a mesh of the second column, called virtual completion value.
- the plurality of decompositions for the first column can be determined in step a / so that the virtual completion value of each cell of each of the m subsets can be different from the virtual completion values of the other cells of the same. subset of not more than one determined threshold.
- the use of constraints outside the column can make it possible to ensure that the decompositions determined for one column of the model are compatible with the decompositions determined for the other columns of the model.
- the columns have at least one homologous decomposition with the other columns.
- one of the thresholds determined above may be equal to 0.
- the mesh determination values can be identical.
- the determined threshold may be less than half the difference between the largest virtual completion value and the smallest virtual completion value associated with the meshes of the first column.
- the dispersion value of a decomposition can be determined as a function of the interclass variance of the determined subsets.
- the variance of the set constituted by the new numerical parameters associated with the subsets of a decomposition calculated in step a1 / is called "interclass variance of subsets".
- each cell of the column can be associated with a value (for example, digital) of heterogeneity representing a geological parameter of the soil
- the plurality of decompositions can be determined in step a / so that the value of heterogeneity each cell of each of the m subsets may be different from the heterogeneity values of the other meshes of the same subset by at most a determined threshold.
- heterogeneity value is a numerical value representing a geological parameter whose heterogeneity is to be preserved during decompositions.
- a device for grouping meshes in a mesh geological model can be advantageous in itself.
- the present invention also provides a device for grouping meshes in a one to three-dimensional meshed geological model, the geological model comprising a plurality of meshes, each mesh of said model being associated with at least one numeric parameter representing a geological property, the device comprising:
- n is a strictly positive integer.
- a computer program, implementing all or part of the method described above, installed on a pre-existing equipment, is in itself advantageous, since it allows the grouping of meshes in a meshed geological model.
- the present invention also relates to a computer program comprising instructions for implementing the method described above, when this program is executed by a processor.
- FIGS. 1a and 1b illustrate a remeshing of a three-dimensional geological model
- FIG. 3 illustrates a determination of a new subset numerical parameter and of dispersion value determination in one embodiment of the invention
- FIG. 4 illustrates a flowchart of a possible method in one embodiment of the invention
- FIG. 5 illustrates groupings constrained by mesh completion values in one embodiment of the invention
- FIG. 6 illustrates a device that can implement the method of the invention in a particular embodiment.
- Figures 1a and 1b illustrate a remeshing of a three-dimensional geological model.
- the geological model of Figure 1a (called fine model) is represented by a 100 mesh cube of 216 meshes (i.e. 6x6x6 meshes). Each mesh, so-called fine mesh (i.e. 101, 102, 103, 104, etc.) has coordinates in the space formed by the orthonormal coordinate system (0, x, y, z).
- this large number of meshes can be a handicap during mathematical calculations pushed on the geological model, like simulations of flows of fluids or geological deformations. It is thus advantageous to group some meshes, for example, in groups of 8 (e.g. 2x2x2) or in groups of 4 (e.g., 4x1 x1).
- Figure 1b illustrates such a grouping.
- the geological model (called coarse model) of Figure 1b is represented by a cube 100b mesh of 27 meshes (ie 3x3x3 meshes).
- Each mesh, called coarse mesh (ie 106, etc.) has coordinates in the space formed by the orthonormal coordinate system (0, x, y, z) and can be matched with 8 fine meshes of the fine model.
- the grouping of the 8 fine meshes corresponding to the cube 106 of Figure 1b is highlighted by the cube 105 of Figure 1a.
- FIG. 2 illustrates a two-dimensional geological model.
- This geological model has 32 meshes (i.e. 4x8 meshes) having coordinates in a formed space, the orthonormal coordinate system ( ⁇ , ⁇ , ⁇ ).
- These meshes (201, 202, etc.) each include a geological parameter (Goo, G01, G-10, Gn, G20, etc.).
- This geological parameter can notably correspond to:
- This geological parameter (Goo, G01, G10, Gn, G20, etc.) is a numeric parameter, for example decimal.
- FIG. 3 illustrates a determination of a new subset geological parameter in a one-dimensional model and according to an embodiment of the invention.
- the set 351 of the five meshes constitutes an initial column and corresponds to the one-dimensional model before any decomposition into subsets.
- Each mesh of this initial column is associated with a geological parameter (Go is associated with the mesh 300, G 4 is associated with the mesh 304).
- the set 352 corresponds to a possible decomposition of the column 351 into four subsets (305 to 308).
- the subassemblies 306, 307 and 308 respectively include the meshes 302, 303 and 304, while the subassembly 305 includes the two meshes 300 and 301. For each of these subsets (305 to 308), it is possible to determine a new geologic numerical parameter associated with this subset. For example :
- the new geological parameter associated with the subset 305 is a function of the parameters Go and d (denoted by f (Go, Gi));
- the new geological parameter associated with the subset 306 is a function of the parameter G2 (denoted f (G2));
- the new geological parameter associated with the subset 307 is a function of the parameter Gs (denoted f (Gs));
- the new geological parameter associated with the subset 308 is a function of the parameter G 4 (denoted f (G 4 )).
- the set 353 corresponds to another decomposition of the column 351, in three subsets (309 to 31 1).
- the subassemblies 309 and 31 1 respectively comprise the meshes 300 and 304, whereas the subassembly 310 includes the three meshes 301, 302 and 303.
- For each of these subassemblies (309 to 31 1) it is possible to to determine a new geologic numerical parameter associated with this subset. For example :
- the new geological parameter associated with the subset 309 is a function of the parameter Go (denoted f (GB));
- the new geological parameter associated with the subset 310 is a function of the parameters d, G2 and Gs (denoted f (d, G2, G3));
- the new geological parameter associated with the subset 31 1 is a function of the parameter G 4 (denoted f (G 4 )).
- the function f allowing the determination of the new parameter can be, for example,
- the function f can also be an expressed weighted mean function of the
- geological 30i mesh as the permeability. It is also possible to note G ; this new parameter associated with the index subset j (conferring, if necessary, on each subset of a decomposition, an index). Moreover, a dispersion value can be determined for each of the decompositions 352 and 353. The dispersion value makes it possible in particular to quantify the loss of heterogeneity of the column during a decomposition.
- this scatter value may correspond to the value of the interclass variance within the column. So, such a variance can be calculated from the
- the variance ⁇ 353 is the maximum possible variance to be obtained during a decomposition with these assumptions.
- Figure 4 illustrates a flowchart of a possible method in one embodiment of the invention.
- the pattern received includes, for example, meshes, each mesh being cubic and each side of this cube being common with another cube.
- this model may also indicate a set of mesh columns stacked on top of each other, adjacent and representing geological boreholes.
- the object of such decompositions is to reduce the number of meshes of the geological model according to the vertical axis (ie for successive layers of the model). If all the decompositions are determined then their number is with i the initial number of meshes in the column, and f the number
- subsets in the decomposition i.e. the number of meshes in the target model.
- a decomposition for which no dispersion value has been determined is selected. So for each of the subsets of this decomposition, a a new geological parameter associated with the subset is calculated (step 403), for example, by averaging the geological parameters of the meshes contained in this subset.
- a dispersion value associated with the selected decomposition is then calculated (step 404), for example by calculating the variance of the averages previously calculated for the subsets of this decomposition.
- this ordered list may be provided (message 406) to a user or other processing system for display or recalculation.
- the user for example, a geologist or a reservoir engineer
- the decomposition that corresponds most closely to the geological reality found among the determined decompositions having the highest dispersion values.
- Figure 5 illustrates groupings constrained by mesh completion values in one embodiment of the invention.
- the total number of decompositions of a column can be relatively high and it can be tedious to analyze them all.
- Completion constraints means any constraint related to the operation of the wellbore, as For example, the opening in the casing (or “casing” in English) of openings allowing the exploitation of layers of oil, gas, etc.
- grouping R3 is not possible because the cells 504 and 505 do not have an identical completion value
- each cell of the wells P1 and P2 is associated with a numerical value of completion representing a degree of completion of the cell.
- this completion value is not necessarily 1 or 0. It can also be equal to 0.9 or 0.2 or any other numerical value.
- the well columns P1 and P2 have meshes (respectively 500 to 507 and 510 to 517) each associated with a completion value. It is possible to match the meshes of these two wells according to their "depth" (i.e. their position in their respective columns).
- the mesh 500 can be matched with the mesh 510
- the mesh 501 can be matched with the mesh 51 1 ...
- the mesh 507 can be matched with the mesh 517.
- the process described above can then be performed by transposing the completion values with the virtual completion values.
- the threshold ⁇ can be fixed in advance in a configuration file or dynamically according to the results of a first decomposition process.
- An intermediate solution may consist in setting the ⁇ threshold to a low initial numerical value (for example, 0) and then an incremental upward change in its value, if the number of determined decompositions is not high enough.
- FIG. 6 represents an example of device 600 of groupings of meshes in a meshed geological model in one embodiment of the invention.
- the device 600 comprises a computer, comprising a memory 604 for storing instructions for implementing the method, received model data, and temporary data for performing the various steps of the method as described above. .
- the computer further comprises a mesh grouping circuit 601.
- This circuit can be, for example:
- processor capable of interpreting instructions in the form of a computer program
- a programmable electronic chip such as an FPGA (for "Field Programmable Gate Array”).
- This computer has an input interface 602 for receiving mesh geological model data, and an output interface 603 for providing decomposition data. Finally, the computer comprises, to allow easy interaction with a user, a screen 605 and a keyboard 606.
- FIG. 4 is a typical example of a program, some of whose instructions can be carried out with the device described. As such, FIG. 4 may correspond to the flowchart of the general algorithm of a computer program within the meaning of the invention.
- the present invention is not limited to the embodiments described above as examples; it extends to other variants.
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Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB1501860.9A GB2519037B (en) | 2012-08-06 | 2013-08-06 | Method of assistance in geological modeling by grouping meshes together |
NO20150173A NO346799B1 (en) | 2012-08-06 | 2013-08-06 | Modelling a geological subsoil by grouping together mesh cells in a meshed geological model of one to three dimensions |
US14/420,153 US10274641B2 (en) | 2012-08-06 | 2013-08-06 | Method of assistance in geological modeling by grouping meshes together |
Applications Claiming Priority (2)
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FR1257647 | 2012-08-06 | ||
FR1257647A FR2994313B1 (fr) | 2012-08-06 | 2012-08-06 | Procede d'assistance a la modelisation geologique par regroupements de mailles |
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WO2014023916A1 true WO2014023916A1 (fr) | 2014-02-13 |
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PCT/FR2013/051900 WO2014023916A1 (fr) | 2012-08-06 | 2013-08-06 | Procede d'assistance a la modelisation geologique par regroupements de mailles |
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US (1) | US10274641B2 (fr) |
FR (1) | FR2994313B1 (fr) |
GB (1) | GB2519037B (fr) |
NO (1) | NO346799B1 (fr) |
WO (1) | WO2014023916A1 (fr) |
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CN111862326A (zh) * | 2020-07-24 | 2020-10-30 | 咪咕文化科技有限公司 | 地质模型的存储方法和计算方法、电子设备及存储介质 |
Citations (2)
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US20090299714A1 (en) * | 2008-05-30 | 2009-12-03 | Kelkar And Ass0Ciates, Inc. | Dynamic updating of simulation models |
US20120035896A1 (en) * | 2010-08-09 | 2012-02-09 | Conocophillips Company | Reservoir upscaling method with preserved transmissibility |
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FR2725794B1 (fr) * | 1994-10-18 | 1997-01-24 | Inst Francais Du Petrole | Methode pour modeliser la distribution spatiale d'objets geometriques dans un milieu, tels que des failles dans une formation geologique |
US6928399B1 (en) * | 1999-12-03 | 2005-08-09 | Exxonmobil Upstream Research Company | Method and program for simulating a physical system using object-oriented programming |
FR2962835B1 (fr) * | 2010-07-16 | 2013-07-12 | IFP Energies Nouvelles | Methode pour generer un maillage hexa-dominant d'un bassin geometriquement complexe |
-
2012
- 2012-08-06 FR FR1257647A patent/FR2994313B1/fr active Active
-
2013
- 2013-08-06 US US14/420,153 patent/US10274641B2/en active Active
- 2013-08-06 NO NO20150173A patent/NO346799B1/en unknown
- 2013-08-06 GB GB1501860.9A patent/GB2519037B/en active Active
- 2013-08-06 WO PCT/FR2013/051900 patent/WO2014023916A1/fr active Application Filing
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090299714A1 (en) * | 2008-05-30 | 2009-12-03 | Kelkar And Ass0Ciates, Inc. | Dynamic updating of simulation models |
US20120035896A1 (en) * | 2010-08-09 | 2012-02-09 | Conocophillips Company | Reservoir upscaling method with preserved transmissibility |
Non-Patent Citations (1)
Title |
---|
DAVID STERN: "Practical Aspects of Scaleup of Simulation Models", JOURNAL OF PETROLEUM TECHNOLOGY, vol. 57, no. 9, September 2005 (2005-09-01), XP055060786, ISSN: 0149-2136, DOI: 10.2118/89032-MS * |
Also Published As
Publication number | Publication date |
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FR2994313B1 (fr) | 2014-08-29 |
GB2519037A (en) | 2015-04-08 |
NO20150173A1 (en) | 2015-03-06 |
US10274641B2 (en) | 2019-04-30 |
US20150226877A1 (en) | 2015-08-13 |
FR2994313A1 (fr) | 2014-02-07 |
GB2519037B (en) | 2018-08-29 |
GB201501860D0 (en) | 2015-03-18 |
NO346799B1 (en) | 2023-01-16 |
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