The Investigation Of Gas Hydrate Exploration Base On Neural Network

Comprehensive research of the marine geology of South China Sea has been carried out in recent years. The past studies confirmed the existence of Natural Gas Hydrate in this area. Especial in 2007 5th, scientists had conducted dedicated deep drilling expeditions and got the samples of the Natural Gas Hydrate for the fist time. Also some literates show that the reserves maybe up to 19.4 billion m3.As the exploration of Natural Gas Hydrate gets deeper and deeper, we got so much data and files as well as the samples of Gas Hydrate. How to use these data to valuate the reserves of the natural gas hydrate becomes an urgent problem that all scientists met.The exploration of natural gas hydrate contains two main methods including geochemistry and geophysics. However both of them have some limits such as 1) the complication of the evaluation method, model and formula, 2) the uncertainty of the parameters, 3) the lack of credibility in the result due to the transfer error etc. Nevertheless artificial neural network can figure out all these problems. It also has some special advantages such as pattern classification, data forecast, fitting function and so on.This study took the application of artificial neural network technology as a breakthrough point, and established a neural network model. Through that we can find the nonlinear relationship in various attributes concern about the valuation of the natural gas hydrate. This paper is aiming at providing some method and technology supports in searching and evaluating the natural gas hydrate.