Method of Geomechanical Parameter Determination and Volumetric Fracturing Factor Simulation under Highly Stochastic Geologic Conditions
In order to accurately predict geomechanical parameters of oil-bearing reservoirs and influencing factors of volumetric fracturing, a new method of geomechanical parameter prediction combining seismic inversion, well logging interpretation and production data is proposed in this paper. Herein, we pr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/1/312 |
| _version_ | 1797625885512171520 |
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| author | Dongmei Ding Yongbin Wu Xueling Xia Weina Li Jipeng Zhang Pengcheng Liu |
| author_facet | Dongmei Ding Yongbin Wu Xueling Xia Weina Li Jipeng Zhang Pengcheng Liu |
| author_sort | Dongmei Ding |
| collection | DOAJ |
| description | In order to accurately predict geomechanical parameters of oil-bearing reservoirs and influencing factors of volumetric fracturing, a new method of geomechanical parameter prediction combining seismic inversion, well logging interpretation and production data is proposed in this paper. Herein, we present a structure model, petrophysical model and geomechanical model. Moreover, a three-dimensional geomechanical model of a typical reservoir was established and corrected using history matching. On this basis, a typical well model was established, 11 influencing factors of volume fracturing including formation parameters and fracturing parameters were analyzed and their impact were ranked, and the oil recovery rate and the accumulated oil production before and after optimal fracturing were compared. The results show that with respect to formation parameters, reservoir thickness is the main influencing factor; interlayer thickness and stress difference are the secondary influencing factors; and formation permeability, Young’s modulus and Poisson’s ratio are the weak influencing factors. For a pilot well of a typical reservoir, the optimized fracture increased production by 7 tons/day relative to traditional fracturing. After one year of production, the method increased production by 4 tons/day relative to traditional fracturing, showing great potential in similar oil reservoirs. |
| first_indexed | 2024-03-11T10:02:48Z |
| format | Article |
| id | doaj.art-4275e3898ff8449498cb12c744e04a0c |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T10:02:48Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-4275e3898ff8449498cb12c744e04a0c2023-11-16T15:17:28ZengMDPI AGEnergies1996-10732022-12-0116131210.3390/en16010312Method of Geomechanical Parameter Determination and Volumetric Fracturing Factor Simulation under Highly Stochastic Geologic ConditionsDongmei Ding0Yongbin Wu1Xueling Xia2Weina Li3Jipeng Zhang4Pengcheng Liu5Beijing Sunshine Geo-Tech Co., Ltd., Beijing 100192, ChinaResearch Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, ChinaBeijing Sunshine Geo-Tech Co., Ltd., Beijing 100192, ChinaBeijing Sunshine Geo-Tech Co., Ltd., Beijing 100192, ChinaSchool of Energy Resources, China University of Geosciences, Beijing 100083, ChinaSchool of Energy Resources, China University of Geosciences, Beijing 100083, ChinaIn order to accurately predict geomechanical parameters of oil-bearing reservoirs and influencing factors of volumetric fracturing, a new method of geomechanical parameter prediction combining seismic inversion, well logging interpretation and production data is proposed in this paper. Herein, we present a structure model, petrophysical model and geomechanical model. Moreover, a three-dimensional geomechanical model of a typical reservoir was established and corrected using history matching. On this basis, a typical well model was established, 11 influencing factors of volume fracturing including formation parameters and fracturing parameters were analyzed and their impact were ranked, and the oil recovery rate and the accumulated oil production before and after optimal fracturing were compared. The results show that with respect to formation parameters, reservoir thickness is the main influencing factor; interlayer thickness and stress difference are the secondary influencing factors; and formation permeability, Young’s modulus and Poisson’s ratio are the weak influencing factors. For a pilot well of a typical reservoir, the optimized fracture increased production by 7 tons/day relative to traditional fracturing. After one year of production, the method increased production by 4 tons/day relative to traditional fracturing, showing great potential in similar oil reservoirs.https://www.mdpi.com/1996-1073/16/1/312volumetric fracturinglow-permeability reservoirgeomechanical parametersoil recovery |
| spellingShingle | Dongmei Ding Yongbin Wu Xueling Xia Weina Li Jipeng Zhang Pengcheng Liu Method of Geomechanical Parameter Determination and Volumetric Fracturing Factor Simulation under Highly Stochastic Geologic Conditions Energies volumetric fracturing low-permeability reservoir geomechanical parameters oil recovery |
| title | Method of Geomechanical Parameter Determination and Volumetric Fracturing Factor Simulation under Highly Stochastic Geologic Conditions |
| title_full | Method of Geomechanical Parameter Determination and Volumetric Fracturing Factor Simulation under Highly Stochastic Geologic Conditions |
| title_fullStr | Method of Geomechanical Parameter Determination and Volumetric Fracturing Factor Simulation under Highly Stochastic Geologic Conditions |
| title_full_unstemmed | Method of Geomechanical Parameter Determination and Volumetric Fracturing Factor Simulation under Highly Stochastic Geologic Conditions |
| title_short | Method of Geomechanical Parameter Determination and Volumetric Fracturing Factor Simulation under Highly Stochastic Geologic Conditions |
| title_sort | method of geomechanical parameter determination and volumetric fracturing factor simulation under highly stochastic geologic conditions |
| topic | volumetric fracturing low-permeability reservoir geomechanical parameters oil recovery |
| url | https://www.mdpi.com/1996-1073/16/1/312 |
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