An Innovative Characterization Method for Recovery Factor Quantification of Horizontal Shale Gas Well in Sichuan Basin, Southwest China

Abstract This study presents a comprehensive methodology for evaluating the performance and economic viability of two shale gas wells in the Sichuan Basin, Southwest China. A hydraulic fracture simulator was utilized to model fracture propagation, incorporating a 3D geomechanics model and natural fractures. The fracture model was calibrated using real pumping pressure data, and the calibrated fracture geometry was integrated into a reservoir model using the Embedded Discrete Fracture Model (EDFM) method for history matching with field production data. The study introduces a new method to calculate the drainage recovery factor, providing a more accurate estimation of hydrocarbon recovery. Long-term production potential was assessed through a 20-year Estimated Ultimate Recovery (EUR) analysis, and the Drained Reservoir Volume (DRV) was calculated to understand reservoir depletion over time. The results indicated significant differences between traditional recovery factor estimates and those obtained using the new method, underscoring the importance of advanced modeling techniques in capturing the complexities of reservoir behavior. Additionally, an economic analysis was conducted, revealing that one well was significantly more profitable than the other, highlighting the value of integrating technical and economic evaluations in shale gas development projects.

Authors

Institutions

Publication Details

Published
2024-11-04
DOI
https://doi.org/10.2118/222890-ms
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Innovative Characterization Method for Recovery Factor Quantification of Horizontal Shale Gas Well in Sichuan Basin, Southwest China

Jianfa Wu, Chuxi Liu, Kamy Sepehrnoori, Wei Yu et al.
2 links
Hydrocarbon exploration and reservoir analysis
article

An Innovative Characterization Method for Recovery Factor Quantification of Horizontal Shale Gas Well in Sichuan Basin, Southwest China

Jianfa Wu, Chuxi Liu, Kamy Sepehrnoori, Wei Yu, Haoyong Huang
article en

Abstract

Abstract This study presents a comprehensive methodology for evaluating the performance and economic viability of two shale gas wells in the Sichuan Basin, Southwest China. A hydraulic fracture simulator was utilized to model fracture propagation, incorporating a 3D geomechanics model and natural fractures. The fracture model was calibrated using real pumping pressure data, and the calibrated fracture geometry was integrated into a reservoir model using the Embedded Discrete Fracture Model (EDFM) method for history matching with field production data. The study introduces a new method to calculate the drainage recovery factor, providing a more accurate estimation of hydrocarbon recovery. Long-term production potential was assessed through a 20-year Estimated Ultimate Recovery (EUR) analysis, and the Drained Reservoir Volume (DRV) was calculated to understand reservoir depletion over time. The results indicated significant differences between traditional recovery factor estimates and those obtained using the new method, underscoring the importance of advanced modeling techniques in capturing the complexities of reservoir behavior. Additionally, an economic analysis was conducted, revealing that one well was significantly more profitable than the other, highlighting the value of integrating technical and economic evaluations in shale gas development projects.

PetroChina Southwest Oil and Gas Field Company (China), The University of Texas at Austin (US)
Openalex Percentile: Top 79%
Hydrocarbon exploration and reservoir analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.