Quantitative Prediction of Lower Order Faults Based on the Finite Element Method: A Case Study of the M35 Fault Block in the Western Hanliu Fault Zone in the Gaoyou Sag, East China

Liu, Jingshou; Ding, Wenlong; Jun-sheng, Dai; Wu, Zhonghu; Yang, Hao

doi:10.1029/2017tc004767

Cited by 25 publications

(13 citation statements)

References 59 publications

(70 reference statements)

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“…2 structure are complex, and fault identification has multiple solutions. Based on the latest seismic processing data, combined with the fault development model and the prediction of low-order faults by stress field simulation, the faults are identified in detail (Liu et al, 2018). The faults in the Nanpu No.…”

Section: Analysis Of Fault Geometry and Kinematics Characteristicsmentioning

confidence: 99%

Analysis of fault characteristics and oil and gas enrichment differences in the No. 2 structural belt, Nanpu Sag, Bohai Bay Basin, East China

Zou¹,

Liu²,

Qian³

et al. 2023

Front. Earth Sci.

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There are great differences in oil and gas enrichment at different locations in petroliferous basins, and faults are an important factor affecting the differential enrichment of oil and gas. In this paper, taking the No. 2 structure in the Nanpu Sag, Bohai Bay Basin, East China, as an example, based on the analysis of fault geometry and kinematics characteristics, the determination of oil source faults, the analysis of fault trap origin and effectiveness, and the analysis of fault caprock combinations are carried out to study the differences and mechanisms of oil and gas enrichment east and west of the Nanpu No. 2 structure. The results show that the fault-source contact relationship affects the direction of oil and gas migration. The No. 2 structure in the Nanpu Sag has a dual-source hydrocarbon supply. The western structure supplies hydrocarbons from the north and east, with oil and gas migrating along the direction parallel and perpendicular to the fault strike. The east structure supplies hydrocarbons from the south and north, with oil and gas migrating along the direction perpendicular to the fault strike. The effectiveness of fault traps affects the scale of oil and gas accumulation. Most of the traps of the Nanpu No. 2 structure formed before hydrocarbon expulsion, which are all effective traps and are conducive to oil and gas accumulation. The relationship between fault and caprock determines the vertical accumulation layers of oil and gas: The faulted thickness of the east structure is large, the fault is vertically closed, and oil and gas are enriched mainly in the deep layer. The faulted thickness of the west structure is small, and oil and gas are enriched in both deep and shallow layers.

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Section: Analysis Of Fault Geometry and Kinematics Characteristicsmentioning

confidence: 99%

Analysis of fault characteristics and oil and gas enrichment differences in the No. 2 structural belt, Nanpu Sag, Bohai Bay Basin, East China

Zou¹,

Liu²,

Qian³

et al. 2023

Front. Earth Sci.

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show abstract

“…It is difficult to form a complete fault block reservoir, and a certain degree of injection-production system makes the well pattern control not high, which affects the macroscopic swept volume, and thus it affects the recovery efficiency of fault-block reservoirs. Therefore, for complex fault-block reservoirs, the difference in geological factors represented by strong heterogeneity is the influence of fault-block reservoirs the main factors of development [24].…”

Section: Complex Fault Blockmentioning

confidence: 99%

Fine Geological Modeling of Complex Fault Block Reservoir Based on Deep Learning

Liu

Zhang

et al. 2022

Wireless Communications and Mobile Computing

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Nowadays, people’s demand for underground mineral resources is increasing, and geological disasters have occurred frequently in recent years. Geological disasters refer to geological effects or geological phenomena that are formed under the action of natural or man-made factors, causing loss of human life and property, and damage to the environment; such as landslides, collapses, mudslides, and ground subsidence. Under such a background, people must accelerate the exploration of complex geological structures. This paper is aimed at using the methods and concepts of deep reinforcement learning. Deep learning is to learn the inherent laws and representation levels of sample data. The information obtained during these learning processes is of great help to the interpretation of data such as text and images. In this way, the fine geology of complex fault-block reservoirs is modeled and studied. Geological structures and phenomena are discussed through convolutional neural network models and computer techniques. At the same time, the multitask bird recognition network is used to extract and classify geological images, so as to construct geological model maps with different spatial structures. Finally, the quality of the fault reconstruction model, the calculation of reservoir geological simulation reserves, and the evaluation of the water injection development effect of complex fault blocks are analyzed. In the evaluation of the development effect of water injection in complex fault blocks, comparing the relationship curve between the actual comprehensive water content and the oil recovery factor with the standard curve, the comprehensive water content of the initial block increased rapidly. Through timely and dynamic water allocation and comprehensive management, the water cut rising speed is controlled. The current comprehensive water cut of the reservoir is between 60% and 80%, the actual curve is between 25% and 35%, and the estimated waterflooding recovery is about 30%.

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“…Both tectonic and regional fractures are the products of regional tectonic stresses. Therefore, the magnitude of structural deformation strength undoubtedly plays a decisive role in the development and distribution of tectonic fractures (Jaeger & Cook, 1976;Liu, Ding, Dai, Wu, & Yang, 2018;Liu, Hu, Cao, Wang, & Tang, 2018;Nelson, 1985). Figure 12 shows the simulation results of the maximum principal stress on the top surface of the Ma 5 member.…”

Section: Tectonic Deformation Strengthmentioning

confidence: 99%

Characteristics, influencing factors, and prediction of fractures in weathered crust karst reservoirs: A case study of the Ordovician Majiagou Formation in the Daniudi Gas Field, Ordos Basin, China

Xie

Zhou

Zhang³

et al. 2020

Geological Journal

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The study of fractures in karst reservoirs is a hot spot in the field of geosciences. In this article, we conducted a systematic study on the characteristics, influencing factors, and prediction methods of karst reservoir fractures of the Ordovician Majiagou Formation in the Daniudi Gas Field, China. Both weathering and tectonic fractures are mainly developed in the Ma 5 member of the Majiagou Formation. The former is categorized into surface weathering, steep wall tensile and karst collapse fractures, and the latter is made of tensile and shear fractures. The palaeo-temperatures of the fracture filling inclusions range from 90 to 140 C, peaking at 111-120 C, which are derived from oxygen isotopes of −7.9 to −17.5‰, with average −14.1‰ from the same filling inclusions. Integrations of regional tectonic activities, inclusion tests, and stable isotope analysis recognizes four formation periods of fractures since the Caledonian. The factors controlling the development degree of the karst reservoir fractures include lithology, petrophysical properties, rock layer thickness, structural deformation strength, and karst palaeomorphology. The buckling thin plate simulation results show a good positive correlation between the maximum principal stress and tensile fracture density. The same positive correlation is also observed between the shear stress and fracture density. The ancient karst landforms have strongly affected the distribution of weathering fractures. Surficial weathering fractures occur typically in the weathered residual monadnocks, while steep wall tension ruptures in areas near geomorphic steep ridges, and karst collapse fractures in karst residual monadnocks and karst pit areas.

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Quantitative Prediction of Lower Order Faults Based on the Finite Element Method: A Case Study of the M35 Fault Block in the Western Hanliu Fault Zone in the Gaoyou Sag, East China

Cited by 25 publications

References 59 publications

Analysis of fault characteristics and oil and gas enrichment differences in the No. 2 structural belt, Nanpu Sag, Bohai Bay Basin, East China

Analysis of fault characteristics and oil and gas enrichment differences in the No. 2 structural belt, Nanpu Sag, Bohai Bay Basin, East China

Fine Geological Modeling of Complex Fault Block Reservoir Based on Deep Learning

Characteristics, influencing factors, and prediction of fractures in weathered crust karst reservoirs: A case study of the Ordovician Majiagou Formation in the Daniudi Gas Field, Ordos Basin, China

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