COMPARISON OF GENETIC AND STATISTICAL METHODS FOR PETROLEUM RESOURCE ASSESSMENT

Genetic method, statistical method and their relevant mathematic models, basic features and applicability and confines are contrasted in this paper. In fact, genetic method mainly represented by basin simulation technology is a kind of comprehensive method for petroleum geology analysis, which not only quantitatively estimates petroleum resources, but also provides many sorts of valuable outcome maps. But from now on, some further research should be taken urgently to improve petroleum migration and accumulation module, so as to enhance the reliability of resource estimation. Statistical method establishes relevant mathematical models to estimate petroleum resources in the exploration area with higher exploration maturity, according to the changing trend of petroleum reserves (output) or supposing that, pool size submits to a certain distribution function. Some kinds of utility models of statistic method are introduced, such as lognormal distribution, truncated shifted Pareto distribution, generalized Pareto distribution, pool size sequence and Weng's life cycle. In practice, many kinds of models should be chosen to make crosswise verification according to petroleum geology condition and exploration maturity, so as to ensure the reliability of estimation result.