Digital Oil And Gas

The oil and gas industry has long relied on surface data and the expertise of seasoned operators to manage the complexities of downhole operations. However, as wells become deeper, laterals longer, and conditions more extreme, the human expert can struggle to address the expanded downhole complexity. Consistency, efficiency, and precision have become increasingly difficult to achieve. This growing complexity presents significant challenges. Operators must interpret inconsistent surface data while contending with extreme pressures, weights, and temperatures. Without real-time visibility into what’s happening at the drill bit, risks like unplanned downtime, tool failures, and inefficiencies sap productivity and inflate costs. To overcome these issues, the industry is turning to advanced technology, automation, and machine learning to build a more repeatable and predictable model of operation. In this episode, I speak with Brad Watson, the technology development manager with STEP Energy Services, on how his team