System and method for predicting fracture development in tight sandstone based on coupling constraint of multiple geological parameters

A system for predicting fracture development in tight sandstone under a coupling constraint of multiple geological parameters, comprising:

• a first processor;
• a second processor;
• a third processor;
• a fourth processor;
• a fifth processor;
• and
• a sixth processor;
• wherein the first processor is configured to acquire basic geological data of a target tight sandstone gas reservoir area, and perform standardization on the basic geological data to form a standardized geological database;
• the second processor is configured to perform multi-order sequence boundary identification by means of high-resolution sequence stratigraphy to delineate a plurality of sequence boundaries based on the standardized geological database, identify dominant intervals for fracture development in combination with analysis of fracture development parameters and according to a range of each of the plurality of sequence boundaries, and determine a vertical distribution range and lateral distribution characteristics of the dominant intervals;
• the third processor is configured to, based on the standardized geological database and in combination with core observation and logging curve response characteristics, plot a distribution map of sedimentary microfacies for the dominant intervals by using a spatial constraint of a seismic attribute fusion map, and determine a spatial distribution range and boundary characteristics of the sedimentary microfacies;
• the fourth processor is configured to extract formation curvature parameters by means of a multi-scale volumetric curvature calculation method based on the standardized geological database, calculate a linear distance from each drilling location to a fault through fault interpretation and fine characterization, delineate predicted fracture development zones along the dominant intervals and generate a predicted fracture development zone map based on the formation curvature parameters and the linear distance and in combination with tectonic stress field analysis, and determine a boundary range, fracture development intensity grade and spatial distribution characteristics of each of the predicted fracture development zones;
• the fifth processor is configured to perform statistics on a fracture development condition from imaging logging to obtain a statistical result, acquire a quantified value of a tectonic characteristic, a quantified value of a lithological characteristic and a quantified value of a sequence characteristic, perform normalization on the quantified value of the tectonic characteristic to obtain a first normalized value, perform normalization on the quantified value of the lithological characteristic to obtain a second normalized value, perform normalization on the quantified value of the sequence characteristic to obtain a third normalized value, compare the first normalized value, the second normalized value and the third normalized value with the statistical result, respectively, to determine an influence weight of each of the tectonic characteristic, the lithological characteristic and the sequence characteristic on fracture development, and calculate a comprehensive quantified value of each of the tectonic characteristic, the lithological characteristic and the sequence characteristic by using a weighted combination method based on the influence weight;
• and
• the sixth processor is configured to perform spatial superimposition of the predicted fracture development zone map with a sedimentary microfacies distribution map, and perform hierarchical classification of favorable zones for fracture development in combination with the comprehensive quantified value.