Tensile fracture prediction based on structural and kinematic data

UDK: 622.276.031.011.43:53.09
DOI: 10.24887/0028-2448-2020-11-27-31
Key words: fractured reservoir, kinematic modelling, strain distribution, geomechanical restoration
Authors: V.V. Gaiduk (NK Rosneft-NTC, LLC, RF, Krasnodar), D.V. Grishchenko (NK Rosneft-NTC, LLC, RF, Krasnodar), S.V. Korpach (NK Rosneft-NTC, LLC, RF, Krasnodar), N.A. Malyshev (Rosneft Oil Company, RF, Moscow), E.I. Mikhajlov (NK Rosneft-NTC, LLC, RF, Krasnodar)

The fractured reservoir provides high flow rates of oil and gas, but characterized by the locally distributed. Now there aren’t any effective technologies for predicting open fracturing before drilling in spite of their actuality relevance for a large number of exploration and production facilities. The innovation project is in progress in Rosneft Oil Company for the development of this technology on the basis on structural date.

The paper represents the results of the prediction for tensile fracturing calculated by a group of method such as the kinematic modeling, geomechanical restoration and angular dislocations method. The structural model including the structural frame of the surfaces of horizons and faults, the slip vector and the slip magnitude of the faults, the unfolded model, and the kinematic algorithms for the formation of the structure, was used as the initial data. Kinematic modeling and geomechanical restoration are used to calculate the plicative component. The deformation field is modeled by unfolding the modern fold structure to the undeformed condition. The angular dislocation method calculates the deformation field in affected areas of faults on the basis on spatial and kinematic fault characteristics. A number of provisions and assumptions representing in the paper that allow proceed from the deformation field to the tensile fracturing. The criteria of tensile fracturing are defined as follows by: 1) type of reservoir-scale fractures is defined (shear fracture or tensile fracture) by the relation between shear and longitudinal deformation, 2) orientation is defined by the direction of axis of tension, 3) intensity of tensile fracturing is defined by the value of the longitudinal deformation at surface vertical to top of bed and axis of tension. The control check proves a positive correlation with the data on well productivity, that gives hope to the expediency of deformation methods for predicting tectonic fracturing drawing on the structural data.

References

1. Gololobov Yu.N., Diagnostic value of pargenesis of disjunctive-plicative structures (In Russ.), Izvestiya vuzov. Geologiya i razvedka, 1982, no. 12, pp. 41–46.

2. Gayduk V.V., Kuksov S.V., Zemtsov P.A., Grishchenko D.V., Features of identification and preprocessing of exploration work objects for thrust-fold belts (In Russ.), Nauchno-tekhnicheskiy vestnik OAO "NK "Rosneft", 2014, V. 37, no. 4, pp.  4–9.

3. Treshchinovatost' gornykh porod. Osnovy teorii i metody izucheniya (Fracturing of rocks. Fundamentals of theory and methods of study): edited by Epifantsev O.G., Pletenchuk N.S., Novokuznetsk: Publ. of SibSIU, 2008, 41 p.

4. Rebetskiy Yu.L., Tektonicheskie napryazheniya i prochnost' gornykh massivov (Tectonic stresses and strength of mountain ranges), Moscow: Akademkniga Publ., 2007, 406 p.

5. Gayduk V.V., Prokop'ev A.V., Metody izucheniya skladchato-nadvigovykh poyasov (Methods for studying fold-thrust belts), Novosibirsk: Nauka Publ., 1999,  160 p.

6. Rebetskiy Yu.L., Sim L.A., Marinin A.V., Ot zerkal skol'zheniya k tektonicheskim napryazheniyam. Metody i algoritmy (From gliding plane to tectonic stresses. Methods and algorithms), Moscow: GEOS Publ., 2017, 234 p.

7. Modelirovanie treshchinovatosti. Praktikum po DFN v Petrel 2016-2019 (Fracture modeling. DFN Workshop at Petrel 2016-2019): edited by Zakrevskiy K.E., Moscow: MAI, 2019, 96 p.

The fractured reservoir provides high flow rates of oil and gas, but characterized by the locally distributed. Now there aren’t any effective technologies for predicting open fracturing before drilling in spite of their actuality relevance for a large number of exploration and production facilities. The innovation project is in progress in Rosneft Oil Company for the development of this technology on the basis on structural date.

The paper represents the results of the prediction for tensile fracturing calculated by a group of method such as the kinematic modeling, geomechanical restoration and angular dislocations method. The structural model including the structural frame of the surfaces of horizons and faults, the slip vector and the slip magnitude of the faults, the unfolded model, and the kinematic algorithms for the formation of the structure, was used as the initial data. Kinematic modeling and geomechanical restoration are used to calculate the plicative component. The deformation field is modeled by unfolding the modern fold structure to the undeformed condition. The angular dislocation method calculates the deformation field in affected areas of faults on the basis on spatial and kinematic fault characteristics. A number of provisions and assumptions representing in the paper that allow proceed from the deformation field to the tensile fracturing. The criteria of tensile fracturing are defined as follows by: 1) type of reservoir-scale fractures is defined (shear fracture or tensile fracture) by the relation between shear and longitudinal deformation, 2) orientation is defined by the direction of axis of tension, 3) intensity of tensile fracturing is defined by the value of the longitudinal deformation at surface vertical to top of bed and axis of tension. The control check proves a positive correlation with the data on well productivity, that gives hope to the expediency of deformation methods for predicting tectonic fracturing drawing on the structural data.

References

1. Gololobov Yu.N., Diagnostic value of pargenesis of disjunctive-plicative structures (In Russ.), Izvestiya vuzov. Geologiya i razvedka, 1982, no. 12, pp. 41–46.

2. Gayduk V.V., Kuksov S.V., Zemtsov P.A., Grishchenko D.V., Features of identification and preprocessing of exploration work objects for thrust-fold belts (In Russ.), Nauchno-tekhnicheskiy vestnik OAO "NK "Rosneft", 2014, V. 37, no. 4, pp.  4–9.

3. Treshchinovatost' gornykh porod. Osnovy teorii i metody izucheniya (Fracturing of rocks. Fundamentals of theory and methods of study): edited by Epifantsev O.G., Pletenchuk N.S., Novokuznetsk: Publ. of SibSIU, 2008, 41 p.

4. Rebetskiy Yu.L., Tektonicheskie napryazheniya i prochnost' gornykh massivov (Tectonic stresses and strength of mountain ranges), Moscow: Akademkniga Publ., 2007, 406 p.

5. Gayduk V.V., Prokop'ev A.V., Metody izucheniya skladchato-nadvigovykh poyasov (Methods for studying fold-thrust belts), Novosibirsk: Nauka Publ., 1999,  160 p.

6. Rebetskiy Yu.L., Sim L.A., Marinin A.V., Ot zerkal skol'zheniya k tektonicheskim napryazheniyam. Metody i algoritmy (From gliding plane to tectonic stresses. Methods and algorithms), Moscow: GEOS Publ., 2017, 234 p.

7. Modelirovanie treshchinovatosti. Praktikum po DFN v Petrel 2016-2019 (Fracture modeling. DFN Workshop at Petrel 2016-2019): edited by Zakrevskiy K.E., Moscow: MAI, 2019, 96 p.



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