A method for predicting fractures in carbonate reservoirs based on fracture identification-sensitive log-seismic parameter model

Authors

WANG Zhiwei, School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China; Haiyang Oil Production Plant, Shengli Oilfield Sub-Company, SINOPEC, Dongying 257237, ChinaFollow
ZHANG Kai, School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, ChinaFollow
WU Qunhu, Haiyang Oil Production Plant, Shengli Oilfield Sub-Company, SINOPEC, Dongying 257237, China
ZHANG Benhua, Haiyang Oil Production Plant, Shengli Oilfield Sub-Company, SINOPEC, Dongying 257237, China
YU Shina, Haiyang Oil Production Plant, Shengli Oilfield Sub-Company, SINOPEC, Dongying 257237, China
ZHANG Zunxiang
WU Yanjia

Abstract

Carbonate reservoirs show fractures and strong heterogeneity, leading to limited applications of a single logging or seismic method in fracture identification. Therefore, this study proposed a method for predicting fractures in carbonate reservoirs based on a fracture identification-sensitive log-seismic parameter (FISLSP) model, and the details are as follows: (1) Based on petrophysical analysis results, as well as formation micro-imaging (FMI) logs and the interpretations of fractures at well locations, this study established a segmental fracture identification-sensitive parameter (FISP) model for fractures at well locations; (2) Using the optimal seismic attributes of near-well seismic traces determined based on the high-quality fractured reservoirs classified according to geological and log interpretation results, this study constructed a FISP model based on the seismic attributes of near-well seismic traces (FISPSA); (3) Using logs combined with seismic attributes, this study established the technology roadmap, method, and procedure for reservoir fracture prediction based on a FISLSP model, achieved the 3D seismic prediction of fractures, and developed a FISLSP model-based 3D seismic fracture prediction method, which applies to buried-hill carbonate oil reservoirs. This method was applied to the prediction of fractures in the Chengdao buried-hill reservoirs of the Shengli Oilfield in the Bohai Bay Basin. The predicted results were consistent with fractures revealed through drilling, indicating that the new method is feasible. The results of this study warrant wide application to the fracture detection of similar buried-hill reservoirs.

Keywords

fracture identification-sensitive parameter, seismic attribute, combination of logs and seismic attributes, petrophysical analysis, reservoir fracture prediction

DOI

10.12363/issn.1001-1986.22.10.0819

Recommended Citation

WANG Zhiwei, ZHANG Kai, WU Qunhu, et al. (2023) "A method for predicting fractures in carbonate reservoirs based on fracture identification-sensitive log-seismic parameter model," Coal Geology & Exploration: Vol. 51: Iss. 6, Article 16.
DOI: 10.12363/issn.1001-1986.22.10.0819
Available at: https://cge.researchcommons.org/journal/vol51/iss6/16

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