LAPSE:2023.6597
Published Article
LAPSE:2023.6597
Method of Geomechanical Parameter Determination and Volumetric Fracturing Factor Simulation under Highly Stochastic Geologic Conditions
Dongmei Ding, Yongbin Wu, Xueling Xia, Weina Li, Jipeng Zhang, Pengcheng Liu
February 24, 2023
Abstract
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.
Keywords
geomechanical parameters, low-permeability reservoir, oil recovery, volumetric fracturing
Suggested Citation
Ding D, Wu Y, Xia X, Li W, Zhang J, Liu P. Method of Geomechanical Parameter Determination and Volumetric Fracturing Factor Simulation under Highly Stochastic Geologic Conditions. (2023). LAPSE:2023.6597
Author Affiliations
Ding D: Beijing Sunshine Geo-Tech Co., Ltd., Beijing 100192, China
Wu Y: Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China
Xia X: Beijing Sunshine Geo-Tech Co., Ltd., Beijing 100192, China
Li W: Beijing Sunshine Geo-Tech Co., Ltd., Beijing 100192, China
Zhang J: School of Energy Resources, China University of Geosciences, Beijing 100083, China
Liu P: School of Energy Resources, China University of Geosciences, Beijing 100083, China [ORCID]
Journal Name
Energies
Volume
16
Issue
1
First Page
312
Year
2022
Publication Date
2022-12-27
ISSN
1996-1073
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Original Submission
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PII: en16010312, Publication Type: Journal Article
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LAPSE:2023.6597
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https://doi.org/10.3390/en16010312
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