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 is driving innovation with STEP-conneCT, a downhole sensor system integrated with e-coil technology. By providing real-time data on weight, torque, and motor health, STEP-conneCT is helping operators transform coiled tubing operations into a manufacturing-style process.

Brad discusses how this technology is addressing challenges, reducing downtime, and paving the way for automation in oil and gas.

About the Guest:

Brad Watson is the technology development manager with STEP Energy Services, a leading company in the coiled tubing and pressure pumping sector. With a focus on advancing milling technology, Brad has played a key role in deploying STEP-conneCT, a leading-edge tool for real-time data acquisition in extreme downhole conditions. His work illustrates the integration of technology and engineering to address the challenges of modern oil and gas exploration.

You can connect with Brad and learn more about STEP Energy Services via:

🌐 Website:      STEP Energy Services

🔗 LinkedIn: Brad Watson

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