Characteristics of strike-slip fault-related reservoirs and the significance for hydrocarbon accumulation in the central Tarim Basin: Insights from the modern karst model

Ning, Fei; Lin, Haifei; Zhou, Chunshan; Yun, Jinbiao; Song, Hang

doi:10.3389/feart.2022.987020

Cited by 4 publications

(2 citation statements)

References 33 publications

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“…Carbonate fault-controlled reservoirs are a type of reservoir formed by multi-stage tectonic evolution and fluid dissolution, characterized by caverns, dissolution pores, and fractures of different stages and levels (McDonnell et al, 2007;Jhosnella et al, 2012;Li et al, 2016). Although carbonate karst reservoirs are rare worldwide, they hold a significant amount of oil and gas resources (Soudet et al, 1994;Dembicki and Machel, 1996;Loucks et al, 2004;Chen et al, 2005;Janson et al, 2010;Ning et al, 2022). For example, in the Tarim Basin in western China, Ordovician paleokarst oil and gas resources account for 72.84% of the total basin resources (Yang et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Multi-level ultra-deep fault-controlled karst reservoirs characterization methods for the Shunbei field

Duan

2023

Front. Earth Sci.

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Ultra-deep carbonate fault-controlled reservoirs are characterized by large burial depths, low dissolution degrees, strong heterogeneity, and limited effective well data. Accurate 3D characterization based on seismic data is essential for efficient development of this type of reservoir. However, traditional seismic prediction methods are insufficient to accurately characterize different reservoir levels in the exploration and development of fault-controlled ultra-deep reservoirs. We propose a set of improved multi-level characterization methods for fault-controlled reservoirs. The improved methods could recover seismic information obscured by strong reflections and reduce the uncertainty of seismic interpretation. This study combined seismic strong reflection suppression and sedimentary strata seismic reflection interference elimination, proposed improved inversion methods, and advanced attribute calculation methods to improve the identification accuracy of reservoirs. In particular, we proposed the karst cave carving method based on improved inversion method and karst cave enhancement algorithm, the dissolved pore zone identification method based on optimization energy envelope algorithm, and the fault-fracture zone characterization method based on optimized atomic decomposition texture contrast. These methods were thoroughly validated by theoretical 3D models and field data. The proposed multi-level characterization methods can effectively improve the identification accuracy of fault-controlled karst reservoirs, provide a benchmark for predicting similar strong heterogeneous carbonate reservoirs, and provide reliable support for further facies modeling.

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Section: Introductionmentioning

confidence: 99%

Multi-level ultra-deep fault-controlled karst reservoirs characterization methods for the Shunbei field

Duan

2023

Front. Earth Sci.

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“…The geomechanical properties, such as rock mechanical properties, ground stress field, and fracture parameters, of fault-controlled fracture-cavity reservoirs are controlled by the distribution of faults, which are extremely heterogeneous. 21,37,38 On the basis of the accurate tracing and identification of faults, the stress characteristics of the fault surface and the fracture cavity are analyzed, the fracture potential mechanical activity index (FGAI) is used to quantitatively characterize the difference in the mechanical characteristics of the fracture surface, and the FGAI is used to determine the connectivity of the fracture-fault-controlled fracture cavity and divide different connection units. The research shows that the stronger the mechanical activity of the fracture surface, the better the quality of the reservoir and the better the connectivity of the reservoir.…”

Section: Quantitative Optimization Technology For Wellbore Trajectorymentioning

confidence: 99%

Geomechanical modeling of ultradeep fault‐controlled carbonate reservoirs and its application, a case of the Fuman Oilfield in Tarim Basin

Xu,

Cai,

Zhang

et al. 2023

Energy Science & Engineering

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To improve the development efficiency of ultradeep fault‐controlled carbonate reservoirs, the deformation and connectivity mechanism of fractures was revealed through large‐scale rock mechanical experiments. The in situ stress field and fracture activity distribution law of fault‐control carbonate reservoirs were clarified through geomechanical modeling. It is revealed that the fracture activity in different directions and the connectivity of the fracture and cavity in different parts are significantly different, the development effect of different well trajectories is analyzed, and the integrated working method of geological engineering is proposed to scientifically guide the well trajectory design and water injection scheme optimization. The results show that: (1) Large‐scale fractures and high‐angle fracture systems in the deformation of strike–slip faults are the key factors affecting reservoir quality. High‐pressure water injection can activate preexisting fractures, and it can extend on the basis of preexisting fractures, and even generate new fractures, which promote the interconnection of fault‐controlled fracture‐cave bodies in the vertical and horizontal directions. (2) During the process of high‐pressure water injection, the coupling change between mechanics and flow occurs inside the fracture body, the seepage environment is improved, and the oil and gas recovery factor is improved through cyclic lifting. (3) According to the shape and occurrence of the fault body and the dynamic shear deformation connectivity of the fault surface, the best well point and well trajectory of the directional well can be optimized, and the water injection scheme can be optimized. (4) The single‐well production increased by 1.45 × 104 t through high‐pressure water injection, the cumulative oil increase of the same fracture‐cavity body increased by 4.63 × 104 t. This method is highly efficient for ultradeep fault‐controlled oil reservoirs. The development provides a good theoretical basis and technical support, and plays a leading and exemplary role.

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Integration of deep-learning fault segmentation, horizontal transverse isotropy analysis, and ambient microseismic methods to enhance fracture prediction in the Crisol Anticline, Colombia

Perez Altamar,

Wiebe,

Pablos Corredor

2024

Interpretation

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This study aimed to optimize hydrocarbon production from the naturally fractured reservoirs in the VMM-1 gas field by identifying and interpreting the fault and fracture systems. To achieve this, deep learning fault segmentation was integrated with HTI analysis and ambient microseismic recording. The fault pattern was studied using deep learning fault segmentation, while HTI analysis highlighted the magnitude and distribution of fractures. Ambient microseismic recording was used to identify active faults and fractures. By integrating these three methods, we were able to understand the direction, density, and effectiveness of the various fracture systems, as well as the lateral extent and continuity of the Rosa Blanca Formation. This integration of methods was essential in maximizing ultimate recovery and economic success and has potential applications in the development of other naturally fractured reservoirs.

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Characteristics of strike-slip fault-related reservoirs and the significance for hydrocarbon accumulation in the central Tarim Basin: Insights from the modern karst model

Cited by 4 publications

References 33 publications

Multi-level ultra-deep fault-controlled karst reservoirs characterization methods for the Shunbei field

Multi-level ultra-deep fault-controlled karst reservoirs characterization methods for the Shunbei field

Geomechanical modeling of ultradeep fault‐controlled carbonate reservoirs and its application, a case of the Fuman Oilfield in Tarim Basin

Integration of deep-learning fault segmentation, horizontal transverse isotropy analysis, and ambient microseismic methods to enhance fracture prediction in the Crisol Anticline, Colombia

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