The Neural Networks Method Model May Study Application In Nature Intensively In Compact Sandstone

With development of oil industry and the exploration and development being in progress, the compact sandstone gas Tibet exploration and development job catches people's attention, compact Chinese gas resource enriches extremely, third time oil and gas resources appraises display, compact gas resource amounts roughly account for about 40% of general gas resource amounts, these Compact gas main gas tax exists in Sichuan, Shanxi, Gansu and Ningxia, loose Liaoning, Talimu, Sungar and the Qaidam Basin. Triple-lap commands the incense streamlet in central Sichuan on area burying 2100～～3600 deep ms, thickness group 450～～1000 ms, the tier is fragrant for a set of been born in by self and stored the huge favor the grit body, among them main force up by self produces gas four, incense two section of rock sex is that the gray, the off-white are hit by granule feldspar quartz sandstone, are hit by granule rock fragments feldspar quartz sandrock mainly. The reservoir small opening distributes range degree 12.22%, shares a small opening spending 5.71%, penetrance distribution is 0.064×10^-3um³ in average penetrance in 1.39%. Data analysis indicates the pressure mercury, the maximal throat says that the radius is 0.77～～2.42um, the value throat says that the radius is 0.06～～0.387um in saturation, 50%'s throat says that the radius is in 0.25um following among them. Be a reservoir's turn to conceal self for representative compact sandstone gas.With west Sichuan beard home, the river forms the main body of a book for compact sandstone studying a marriage partner. Choose owe the area river filial piety 560 new wells action the standard well, owing compact area sandstone but drill nature radial direction base nerve network model combining with being the well record well data building-up's tum to get up. And, the value tier, having been in progress but studying nature intensively to owing 855 up-to-date area wells compact sandstone forecasts. Under the main body of a book being in, several aspect has made more thorough investigation and discussion: 1) The rock may drill the current situation that nature appraises synthetically at home and abroad, analytical main the present stage achievement has been at present as well as insufficient, the tradition may studies nature intensively at present appraising method fairly not very suitable than compact sandstone may drill nature valuation, gas prospects the and respectively square technician at present all in trying to explore new ways estimating that effective compactness rock reservoir thing nature method, accurate valuation compactness rock reservoir thing nature already have become waiting for the technology difficult problem solving urgently.2) Research thinking that the rock resolving compactness may study nature intensively introducing multivariant return of nonlinearity, system has set forth nonlinearity return theory, method has analysed the problem and solution having brought forward nonlinearity return as well as a few common nonlinearity return model, passes finally.3) With neural networks, method appraises compact sandstone but studies nature intensively: The neural networks wielding RBF being recorded the well data combining with, analysed by may study the nature relevance factor's intensively to compact sandstone, adopt the RBF network model to carry out a fitting and forecast. Learn training and forecasting according to the borehole of west Sichuan beard family river group data carries out a network, get fairly good result.