Contracting Agency: U.S. Department of Energy
Point of Contact: solutions@kbsi.com

Overview

During normal drilling system operation, large amounts of data are recorded and archived. Much of the information embedded in this data, however, is not extracted and effectively used during drilling operations, leading to critical mistakes, hazardous situations, and increased costs.

The SDES Small Business Innovation Research (SBIR) project developed advanced enabling technology that addresses the technical and pragmatic challenges associated with the development and deployment of advanced decision support technologies within the oil and geothermal drilling industries.

The goal of this project was to develop and demonstrate a robust expert system that provides sensory data interpretation to facilitate increased drilling operator understanding and drilling system data recognition.

an innovative approach to drilling system fault detection and prediction using hybrids of Artificial Neural Nets and Fuzzy Inference Systems,

advanced architecture mechanisms for self-adaptation and automatic reconfiguration, and

a robust, knowledge based approach for rapid capturing expert knowledge and cost effective system deployment