Fracture Prediction Based on a Complex Lithology Fracture Facies Model: A Case Study from the Linxing Area, Ordos Basin
Source abstract
Abstract
In the Ordos Basin, the lengths of cores are disproportionate to image logging data (1:9) and fracture research is difficult because of their complex lithology and fracture patterns. Based on the characteristics of conventional logging and cores, this paper describes the color, shape, geophysical characteristics and geological features of the basin to establish an image recognition template and to identify nine distinct lithologies. The genesis, type, occurrence, opening mode, cutting depth, host lithology, density and tectonic stress of the fractures are used to define four types of fracture facies (bedding fracture facies, N100° tectonic fracture facies, N10° tectonic fracture facies and coal fracture facies) and to build four models. The comprehensive coherence among the neural network results, curvatures, ant bodies, lithologies, and thicknesses was used to predict the type of different fracture facies. The results show that the fracture prediction model fully reflects the genesis of the cracks and influencing factors and provides insights into optimal areas for future exploration and development.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Rock Mechanics and Modeling · Hydrocarbon exploration and reservoir analysis · Hydraulic Fracturing and Reservoir Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Resources and Environment, Yangtze University, Wuhan 430100, China
Jiangsu Oilfield, Yangzhou 225009, China
Funding
2025 Autonomous Region Natural Science Foundation Project, Research on Meandering River Delta Modeling Method Based on Conditional Generative Adversarial Networks
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