3D Modeling of Fracture-Cave Reservoir from a Strike-Slip Fault-Controlled Carbonate Oilfield in Northwestern China

Rujun Wang, Jianping Yang, Lunjie Chang, Yintao Zhang, Chong Sun (), Xiaoguo Wan, Guanghui Wu () and Bingchen Bai
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Rujun Wang: PetroChina Tarim Oilfield Company, Korla 841000, China
Jianping Yang: PetroChina Tarim Oilfield Company, Korla 841000, China
Lunjie Chang: PetroChina Tarim Oilfield Company, Korla 841000, China
Yintao Zhang: PetroChina Tarim Oilfield Company, Korla 841000, China
Chong Sun: PetroChina Tarim Oilfield Company, Korla 841000, China
Xiaoguo Wan: PetroChina Tarim Oilfield Company, Korla 841000, China
Guanghui Wu: School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China
Bingchen Bai: School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China

Energies, 2022, vol. 15, issue 17, 1-14

Abstract: A giant strike-slip fault-controlled Fuman Oilfield has been found in the Ordovician fractured carbonates of the Tarim Basin. However, conventional seismic methods are hardly able to distinguish the fractured reservoir and its connectivity in the ultra-depth (>7000 m) carbonate fault zones. We propose thin-likelihood and tensor-thickness process methods to describe the fracture network and large cave reservoir, respectively. Together with the two methods for 3D visualization of fracture-cave reservoirs, we had an application in the ultra-deep well deployment in Fuman Oilfield. The results show that the fracture network and cave reservoir can be 3D-imaged more clearly than conventional methods. The fracture network and cave reservoir show distinct segmentation by the fault assemblage in Fuman Oilfield. Furthermore, 3D modeling is favorable for the reservoir connectivity description along the carbonate fault zones. There are three distinct reservoir models: fault core-, fault damage zone- and overlap zone-controlling fractured reservoirs along the fault zones. This revealed variable fractured reservoirs that are related to fault maturity and segmentation. The method has been widely used in fracture-cave reservoir description and subsequent well optimization, suggesting a favorable method for economic oil exploitation in the ultra-depth reservoirs. This case study is not only useful for the complicated reservoir 3D description and modeling but also helpful for well employment to provide support for the target evaluation and optimization in ultra-depth fractured reservoirs.

Keywords: ultra-depth oilfield; strike-slip fault; fracture-cave reservoir; 3D reservoir modeling; thin-likelihood attribute; tensor-thickness attribute (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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