Where Technology Meets Tradition in Oil and Gas

Enhancing Traditional Operations with Digital Solutions

Pytheas Energy is at the forefront of merging traditional oil and gas operations with machine learning and AI. By embracing the power of technology, we’re redefining the way marginal wells are managed, optimized, and sustained for the long haul:

• Remote sensor integration for real-time monitoring
• Tech-driven production optimization and energy efficiency
• Predictive maintenance models to minimize downtime
• Well-to-well and tank-to-tank communication for coordinated operations
• Exploration of renewable energy integration strategies

“Technology is the key to unlocking the true value hidden within these stripper wells,” explains Geoff Brandt, Co-Founder of Pytheas Energy. “By combining our deep industry knowledge with innovative digital solutions, we’re paving the way for a more efficient, sustainable, and profitable future in oil and gas.”

At the core of our technological approach lies a robust network of remote sensors strategically integrated across our well sites. These sophisticated devices allow us to monitor and capture real-time data on a range of critical parameters, including pressure levels, flow rates, and equipment performance.

By harnessing this wealth of real-time data, we gain unprecedented insights into the inner workings of our operations, enabling us to make informed decisions and respond swiftly to any emerging issues or opportunities.

One key advantage of our data-driven approach is the ability to optimize energy efficiency across our operations. Through advanced analytics and machine learning algorithms, we can identify optimal pumping schedules, minimizing energy consumption while maximizing production output.

• Intelligent scheduling reduces unnecessary pumping during low-yield periods, conserving energy and lowering costs.
• Real-time monitoring ensures that pumps are activated only when optimal conditions are present, further enhancing efficiency.

Unplanned downtime can significantly drain resources and profitability in the oil and gas industry. At Pytheas Energy, we leverage predictive maintenance models to stay ahead of potential issues, minimizing disruptions and maximizing uptime.

• Advanced algorithms analyze real-time data and historical patterns to identify early warning signs of equipment failure or degradation.
• Proactive maintenance schedules are implemented, addressing potential issues before they escalate into costly breakdowns.
• Regular maintenance intervals are optimized, reducing unnecessary service visits while ensuring reliable equipment performance.

One of the unique challenges in managing marginal wells is the potential for inefficiencies arising from interconnected subsurface formations. To address this, we’ve implemented a groundbreaking well-to-well communication system, enabling seamless coordination and optimization across our entire well network.

• Individual wells share data and insights, identifying potential “double pump” scenarios and resolving operational conflicts.
• Coordinated pumping schedules ensure efficient resource allocation and minimize wasted energy.
• Comprehensive network-level optimization maximizes overall production output while minimizing operational costs.

As we look towards the future, our commitment to sustainability remains unwavering. We’re actively exploring opportunities to integrate renewable energy sources, such as solar power, into our operations, further reducing our environmental footprint while enhancing long-term profitability.

By leveraging the latest technological advancements and embracing a data-driven mindset, we’re transforming the way marginal wells are managed and paving the way for a more efficient, sustainable, and profitable future in the oil and gas industry.