Three-dimensional Geological Modeling Of Offshore Underwater Fan Reservoir

After many years of development,Zhaoao oil field of Henan Province has entered the stage of difficult development with high water content or extremely high water content.The main oil layer of Hetaoyuan Formation in the main reservoir area is an overall anticline structure.The spatial changes of the reservoir are relatively large,and the heterogeneity between and within the layers is very serious.The development of this small layer has entered an extremely high water-bearing stage.The water content rate is as high as 97.38%,and the extraction rate is only 26.92%.Due to the complex reservoir conditions,the huge reserves of residual oil remain underground,and the sustainable and stable development of oil fields is facing serious challenges.At the present stage,IV2 small reservoir fine three-dimensional model research,detailed characterization of reservoir heterogeneity,further elaborate reservoir description,clear reservoir internal structure characteristics and forecast the distribution of residual oil is of great significance for further excavation and enhancement of the degree of extraction.The traditional geostatistics takes the variation function as the main analysis tool to obtain the relationship between the geological parameters and the spatial probability distribution of the geological parameters.The reservoir model established by this method is not fine enough to characterize reservoir heterogeneity,and it is difficult to provide assistance to oil field to excavate residual oil.Multiple-point geostatistics is based on a prior Geological model that can represent the spatial distribution and contact relations of various microfacies types in the research area,and establishes a three-dimensional reservoir Geological model from a macroscopic perspective.In order to optimize the modeling method and establish a multiple-point reservoir model with a high degree of coincidence with the geological practice in the research area,this paper uses two methods of geological statistics and multiple-point Geological statistics to model respectively,and guarantees the quality of the model by analyzing and comparing the simulation results.Based on the characteristics of the three sections of the core reservoir in the main area of the shed,this paper analyzes and analyzes the core data of the research area,log logging data,etc.,establishes the sedimentary facies model of the research area,and completes the physical model under the facies control conditions.The main research results are as follows:1?Based on the previous research results of the research area,the stratigraphy of the research area was divided into eight single layers by using the method of marking layer comparison.Through the analysis of the profile of the continuous well,The establishment of high resolution and equal time stratum frame was completed.2?By analyzing the data of rock cores,earthquakes,and logging in the research area,combined with the previous research results,the H₃IV2 layer of the research area was summarized as an offshore underwater fan deposition system.Through the comparison and analysis of single well facies,connecting well facies and plane facies,the sedimentary evolution process of H₃IV2 layer in the study area was clarified.3?The deterministic modeling method of assignment method and stochastic modeling method of sequential indication were used to complete the establishment of the research facies model.4?using Petrel interpolation of each microfacies sand thickness map and hand-painted microfacies sand thickness map,based on hand-painted sand thickness map to make appropriate artificial interactive modification of the interpolation of sand thickness map,The three-dimensional model of the spatial distribution and contact relationship of various microfacies is obtained.It is loyal to the original data of the strata and coincides with the sedimentary model of geological research theory.It can characterize the spatial contact relationship and distribution characteristics of various microfacies in the research area,and thus obtain an ideal prior Geological model.5?Based on the results of geological theory of the work area,two statistical models and multiple statistical models are analyzed and compared to achieve model optimization and improve the credibility of reservoir prediction between wells.6?for the study of the establishment of the physical model,using the sequential Gaussian random simulation method,under the constraints of sedimentary facies model to establish the work area porosity model.From the point of view of results,the porosity model is consistent with the sedimentary facies model and the theoretical research results of the work area,which can provide a basis for excavation potential to some extent.