Analysis of the Main Control Factors Affecting the Production Capacity of Surig Gas Field Su 53 Area

Accurately identifying the main controlling factors of the fracturing effect of horizontal wells in tight gas reservoirs, and then effectively guiding the optimisation of the fracturing scheme, is the key to enhance the fracturing capacity of horizontal wells in tight gas reservoirs. Relying on the geological and engineering big data of Su53 block in Surig gas field, four algorithms, namely, Spearman coefficient, maximum mutual information coefficient, Copula entropy and grey correlation, were used to identify the main controlling factors affecting the fracturing effect of horizontal wells under different completion methods, and the weights of the four algorithms were weighted and combined in order to reduce the contingency of the evaluation results of a single weight, and the geological and engineering big data of the 126 barehole horizontal wells and 21 cased horizontal wells of this block were summed up. The study summarises the relationship between the geological and fracturing parameter characteristics of 126 openhole horizontal wells and 21 cased horizontal wells in the block and the test production of a single well, and puts forward suggestions for efficient development of horizontal wells at a later stage. The study shows that the formation pressure coefficient is the main controlling factor for determining the single-well productivity of horizontal wells in this zone, and the productivity of barehole completed horizontal wells is controlled by the fracturing fluid return rate, effective reservoir encounter rate and mud content, while the productivity of cased horizontal wells is controlled by the number of fractured sections, effective reservoir encounter rate and average section length.

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Publication Details

Journal
Frontiers in Computing and Intelligent Systems
Published
2025-03-28
DOI
https://doi.org/10.54097/785r5x79
Primary Topic
Industrial Technology and Control Systems
Type
article
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article

Analysis of the Main Control Factors Affecting the Production Capacity of Surig Gas Field Su 53 Area

Haibiao Wang, Xiaobo Li
2 links
Frontiers in Computing and Intelligent Systems
Industrial Technology and Control Systems
article

Analysis of the Main Control Factors Affecting the Production Capacity of Surig Gas Field Su 53 Area

Haibiao Wang, Xiaobo Li
article en

Abstract

Accurately identifying the main controlling factors of the fracturing effect of horizontal wells in tight gas reservoirs, and then effectively guiding the optimisation of the fracturing scheme, is the key to enhance the fracturing capacity of horizontal wells in tight gas reservoirs. Relying on the geological and engineering big data of Su53 block in Surig gas field, four algorithms, namely, Spearman coefficient, maximum mutual information coefficient, Copula entropy and grey correlation, were used to identify the main controlling factors affecting the fracturing effect of horizontal wells under different completion methods, and the weights of the four algorithms were weighted and combined in order to reduce the contingency of the evaluation results of a single weight, and the geological and engineering big data of the 126 barehole horizontal wells and 21 cased horizontal wells of this block were summed up. The study summarises the relationship between the geological and fracturing parameter characteristics of 126 openhole horizontal wells and 21 cased horizontal wells in the block and the test production of a single well, and puts forward suggestions for efficient development of horizontal wells at a later stage. The study shows that the formation pressure coefficient is the main controlling factor for determining the single-well productivity of horizontal wells in this zone, and the productivity of barehole completed horizontal wells is controlled by the fracturing fluid return rate, effective reservoir encounter rate and mud content, while the productivity of cased horizontal wells is controlled by the number of fractured sections, effective reservoir encounter rate and average section length.

Frontiers in Computing and Intelligent SystemsVol. 11(3)
Tianjin Tanggu Women and Child Health (CN)
Openalex Percentile: Top 92%
Industrial Technology and Control Systems
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