Well logs interpretation, an essential step for an efficient exploration/exploitation of the subsurface, is often a rather subjective and highly time-consuming process.
Our objective is to automatically extend the interpretation of well log data on a large scale with a quality comparable to what is done manually by experts on a small scale.
In the proposed method, we use a four-step process:
The first results on blind test data compare well with expert independent observation.
By virtue of its automatic nature, the method reduces the costs and expert intervention time and accelerates industrial processes, while guaranteeing a quality comparable to the classifications produced by the experts in the intervals identified in depth. In addition it offers a way to concentrate human work where it is most important, to manage the time and energy of experts more optimally.