Seismic Attributes Optimization Technology And Its Reservoirparameter Forecast Research

The seismic attributes research beginning from the last century, obtained thewidespread application in the oil gas exploration domain.The seismic attributes senatewithdraws which from the earthquakematerial amounts to several dozens, whencarries on the reservoirforecast uses the parameter certainly is not more the better,becausethe invalid parameter can increase the work load and the consumptionlimitedresources, even brings the dimension disaster, musteffectively use these attributes tocarry on the reservoir parameterto forecast must have to carry on the attribute optimal.This articlehas carried on the introduction to the earthquake attributeoptimizationmethod, has analyzed the Data Envelopment Analysis, and will optimize the resultwill use in thereservoir forecast.This article uses the fuzzy nerve network to solve the reservoirforecast problem,it is introduces the fuzzy algorithm or the fuzzyweight coefficient nerve network inthe network. The fuzzy nervenetwork took an emerging non-linear science, has thevery strongnon-linear mapping ability. The fuzzy nerve network forecastmethodantijamming strong, fault-tolerant is good, is not strict to theparameterindependence request, moreover may simultaneously study themassive earthquakescharacteristic parameter, thus in the reservoirparameter forecast has the broadapplication prospect. This articlethe earthquake attribute which withdraws from theseismiccross-section has carded on the optimization, and the union loginformation,the fuzzy nerve network which constructs with thisarticle carries on the forecast to thereservoir parameter. Withdirectly has not made the forecast with the optimizedattribute tocompare, may save the time and the resources, obtained the quitegoodresult. Thus it can be seen uses the data envelope analysis method tocarry on theparameter to optimize, and carries on the parameter usingthe fuzzy nerve network toforecast its effect is quite good.