The Application Research Of Geological Space And Time Dimension Data Modeling Technology In Reservoir Exploitation

With the continuous development of oilfield exploitation, the underground reservoirstructure, reservoir property, and pore structure have occurred some changes, which make theoil and gas exploitation difficult. At present in the field of geological modeling study, athree-dimensional static model on the spatial perspective is used to make a quantitativeanalysis of reservoir distribution and various properties, however oilfield exploitation is adynamic process with time, the3D model can not meet the needs of oil field to some extent.Therefore, spatiotemporal data modeling technology research is necessary.In this paper, an analytical model of the space-time dimension on three-dimensionalreservoir injection and process simulation was established for dynamic reservoir developmentissues. We conduct research on indicator variables change with time based on threedimensional static model. Considering the continuity of the time variable, the model need tosolve the problem of multi-process signal input-output relationship and the ability of fastsignal processing on modeling. The paper do research on space-time dimensional model, anetwork model that can solve more than one time-slice problem is established by the theory ofspace-time dimensional modeling methods and algorithms. The algorithm can be used to buildthe geological dynamic model, involving the differential equations of seepage of the reservoirof knowledge, the overall modeling of the radial dynamic regression models, as well as aneural network that can be directly used on the space-time dimension system for modelingmulti-polymerization process neural network. Multi-polymerization process neural networkextends the traditional neural network to the time domain, the input and output connectionweights of the network function can depend on the time-varying multivariate continuousfunction, the network has the advantages of good adaption, high fault tolerance adaptability,and an the model can be used as a general method of space-time dimensional modeling.In this paper, we designed two network model of fractional multi-polymerization processneural networks and legendre orthogonal basis transform polymer neural network forspace-time dimensional modeling data computation, the complex mechanism of informationchanges, long training time,3D static model and dynamic model used to the reservoir visualdisplay, the analysis processing for display of the image to provide intuitive help for the oilfield workers, which has a good application prospects.