Learning To Trust Your Data: Real-Time Quality Integration for GG Professionals

摘要

Software advances in recent years have changed the way Exploration & Production (E & P) companies utilize and manage geotechnical data. Contemporary geoscience interpretation applications are “data hungry” and able to consume more types of data from diverse sources at a higher rate of speed. Because of the variability of data, technology, data capture methods and data accuracy levels collected over the extensive operating history of a Well’s life cycle, the challenge in the E & P industry remains how can you trust the data that you depend upon daily? The more important question might be “how can you NOT trust the data” upon which multi-million dollar drilling decisions are being made on a regular basis? This paper describes how the application of contemporary software technology can improve the decision-making process by adding a dimension of confidence through data quality as data is moved between various geoscience applications and corporate databases.