Resource estimation is a process by which we evaluate/calculate the economically recoverable hydrocarbons (HC) in place. The parameters that go in Resource estimation are uncertain and incorporate various risks. Resource is defined as the total volume of hydrocarbon in place, classified as reserve when proved commercially viable. Resource estimation can be carried out deterministically while resource estimation is done probabilistically. In this paper probabilistic approach is utilized using Genetic Algorithm (GA) for resource estimation. GA is an adaptive heuristic approach which uses analogy to the mechanism of Darwin's theory of natural selection. This paper discusses the basic structure of GA and its operators i.e. encoding, reproduction and termination, followed by the application of GA to a synthetic model for estimating the Oil Initially in Place and Recoverable Resource, using triangular and lognormal probability distributions.
展开▼
