Digital Transformation and Artificial Intelligence Applications in Smart Oilfields

Course Overview

The energy transition has not removed the need for rigour in digital transformation in smart oilfields; it has added to it. Regulators and insurers increasingly want documented evidence of how smart oilfields is controlled. Content is organised around the decisions practitioners actually face in this aspect of energy and hydrocarbon operations, not around theory headings. Practitioner evidence points the same way: digital transformation in smart oilfields improves fastest where responsibility for it is named and owned. Participants gain a clear basis for measuring what this area of energy and hydrocarbon operations has actually achieved. The programme uses small-group work so that each participant's treatment of smart oilfields is examined, not just described. Participants come from operational and oversight roles, and both perspectives on digital transformation in smart oilfields are used deliberately. Buying a tool rarely fixes smart oilfields; the underlying capability has to be built internally first. The final module sets out how progress on this strand of energy and hydrocarbon operations will be evidenced six months later.