Evaluation Method of Shale Brittleness Based on Multiple Influencing Factors

The brittleness evaluation of shale reservoirs serves as a crucial basis for scientifically conducting fracturing operations and evaluating wellbore instability technologies. To scientifically and rapidly assess shale brittleness, this study focuses on the Paleogene Funing formation II member reservoirs in the Qutang Subsag of the Hai'an Sag, Subei basin. Starting from the factors influencing shale brittleness, a comprehensive evaluation model for shale brittleness is constructed based on the analytic hierarchy process, encompassing five dimensions: mineral composition, pore structure, organic matter content, formation temperature, and thermal maturity. In this comprehensive evaluation model, the factors influencing brittleness, in descending order of importance, are mineral composition, thermal maturity, total organic carbon content, formation temperature, and porosity, with respective weights of 0.423 7, 0.270 7, 0.168 6, 0.068 5 and 0.068 5. By comparing the evaluation results of the comprehensive shale brittleness evaluation model and four single-factor brittleness evaluation models with actual brittleness indices, it is demonstrated that the proposed model exhibits the lowest error compared to actual brittleness indices, enabling accurate assessments of shale reservoir brittleness. This model quantifies the weights of various influencing factors and features a straightforward calculation method, providing significant guidance for field operations.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-10-01
DOI
https://doi.org/10.16489/j.issn.1004-1338.2024.05.008
Primary Topic
Anatomy and Medical Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation Method of Shale Brittleness Based on Multiple Influencing Factors

SHILAP Revista de lepidopterología
Anatomy and Medical Technology
article

Evaluation Method of Shale Brittleness Based on Multiple Influencing Factors

article en

Abstract

The brittleness evaluation of shale reservoirs serves as a crucial basis for scientifically conducting fracturing operations and evaluating wellbore instability technologies. To scientifically and rapidly assess shale brittleness, this study focuses on the Paleogene Funing formation II member reservoirs in the Qutang Subsag of the Hai'an Sag, Subei basin. Starting from the factors influencing shale brittleness, a comprehensive evaluation model for shale brittleness is constructed based on the analytic hierarchy process, encompassing five dimensions: mineral composition, pore structure, organic matter content, formation temperature, and thermal maturity. In this comprehensive evaluation model, the factors influencing brittleness, in descending order of importance, are mineral composition, thermal maturity, total organic carbon content, formation temperature, and porosity, with respective weights of 0.423 7, 0.270 7, 0.168 6, 0.068 5 and 0.068 5. By comparing the evaluation results of the comprehensive shale brittleness evaluation model and four single-factor brittleness evaluation models with actual brittleness indices, it is demonstrated that the proposed model exhibits the lowest error compared to actual brittleness indices, enabling accurate assessments of shale reservoir brittleness. This model quantifies the weights of various influencing factors and features a straightforward calculation method, providing significant guidance for field operations.

SHILAP Revista de lepidopterología
China National Petroleum Corporation (China) (CN)
Openalex Percentile: Top 68%
Anatomy and Medical Technology
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.