Prediction of Structural Fracture Characteristics of Carbonate Reservoir in Leikoupo Formation of Pengzhou Gas Field
To address the issue of the ambiguous understanding of the distribution characteristics and development degree of structural fractures in Leikoupo Formation of Pengzhou Gas Field,taking into account the influence of sed-imentary microfacies,layer thickness and bedding plane,a prediction approach of structural fractures in carbonate strata based on engineering geomechanics was established.Taking the fourth member of Leikoupo Formation in PZ-6 well area as an example,the finite element method was employed to assess the trans-scale structural fractures of the well area and individual wells.The results demonstrate that the structural fractures in the well area are mainly oblique fractures,and the fracture linear density in the fault area is approximately 1.3 per metre.The fracture line density of algal dolomite flat and dolomite lime flat is greater than that of other sedimentary microfacies.The relative error between the statistical results and the prediction results of fracture line density in the well area is 6.83%,and the well location can be preferentially deployed in the above two sedimentary microfacies.The prediction results of structural fractures in single wells are in accordance with the logging results by 91.23%,and the formation fracture coefficient at the bedding plane is greater than 1.2,indicating that the structural fractures at the bedding plane are more developed.The thin layer is influenced by the layer,and the principal stress change is more obvious.During the construction,well leakage can be prevented in accordance with the distribution of single well structural frac-tures.The research results are of great significance to clarify the distribution characteristics of structural fractures,optimal selection of horizons and well location deployment in Leikoupo Formation of Pengzhou Gas Field.
Pengzhou Gas FieldLeikoupo Formationstructural fracturessedimentary microfaciesthree-dimen-sional stress field
万方数据
维普
