Quantitative Prediction of Favorable Targets for Hydrocarbon Accumulation in the Yuanba Area of the Sichuan Basin, China

Predicting favorable areas for hydrocarbon accumulation and then discovering more oil and gas resources are the pursued goals for petroleum explorers and companies. The Yuanba area has been known to global researchers since the Yuanba gas field was discovered in 2007, and the formation and distribution of its gas reservoirs have also attracted extensive attention from academics. However, the complex geological conditions in the Yuanba area pose a challenge to the study of gas reservoir prediction. According to the analysis of a large number of gas reservoir data in the Yuanba area, we believe that the formation of natural gas reservoirs in the Yuanba area is primarily controlled by four "functional elements": source kitchen (S), depositional facies (D), regional cap rock (C), and low interfacial potential (P). Their orderly combination in time and space determines the stratum and range of gas reservoir distribution. This paper provides a detailed introduction to how the four functional elements control hydrocarbon accumulation and quantitatively characterize them. Finally, a model of functional element combination (<i>I</i> <sub>CDPS</sub>) that can quantitatively characterize the hydrocarbon accumulation probability is established. According to this model, we predicted the most favorable and favorable target areas for natural gas accumulation in the Late Permian Changxing Formation of the Yuanba area. The results are of great significance in guiding petroleum exploration in the Yuanba area.

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Publication Details

Journal
ACS Omega
Published
2025-01-27
DOI
https://doi.org/10.1021/acsomega.4c09653
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantitative Prediction of Favorable Targets for Hydrocarbon Accumulation in the Yuanba Area of the Sichuan Basin, China

Huiyi Xiao, Lin Xie, Tong Wang, Tao Hu et al.
ACS Omega
Hydrocarbon exploration and reservoir analysis
article

Quantitative Prediction of Favorable Targets for Hydrocarbon Accumulation in the Yuanba Area of the Sichuan Basin, China

Huiyi Xiao, Lin Xie, Tong Wang, Tao Hu, Dingye Zheng, Xiongqi Pang, Hao Lin, Caijun Li, Yuxuan Chen, Jiwang Yu
article en

Abstract

Predicting favorable areas for hydrocarbon accumulation and then discovering more oil and gas resources are the pursued goals for petroleum explorers and companies. The Yuanba area has been known to global researchers since the Yuanba gas field was discovered in 2007, and the formation and distribution of its gas reservoirs have also attracted extensive attention from academics. However, the complex geological conditions in the Yuanba area pose a challenge to the study of gas reservoir prediction. According to the analysis of a large number of gas reservoir data in the Yuanba area, we believe that the formation of natural gas reservoirs in the Yuanba area is primarily controlled by four "functional elements": source kitchen (S), depositional facies (D), regional cap rock (C), and low interfacial potential (P). Their orderly combination in time and space determines the stratum and range of gas reservoir distribution. This paper provides a detailed introduction to how the four functional elements control hydrocarbon accumulation and quantitatively characterize them. Finally, a model of functional element combination (<i>I</i> <sub>CDPS</sub>) that can quantitatively characterize the hydrocarbon accumulation probability is established. According to this model, we predicted the most favorable and favorable target areas for natural gas accumulation in the Late Permian Changxing Formation of the Yuanba area. The results are of great significance in guiding petroleum exploration in the Yuanba area.

ACS OmegaVol. 10(4)
Sinopec (China) (CN), China University of Petroleum, Beijing (CN)
China University of Petroleum, Beijing, PetroChina Company Limited
Clean water and sanitation
Openalex Percentile: Top 99%
Hydrocarbon exploration and reservoir analysis
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