AI-Native Drilling Fluid Monitoring at the Rig: Real-Time Edge Models, Sensors, EDR Integration and Lessons Learned

The conference focuses on data-driven strategies to maximize upstream production and support digital transformation. Topics include improving data quality for AI, integrating data across IT and operational technology systems, evaluating returns from digital and AI investments, secure and ethical AI adoption, cybersecurity and data governance, workforce upskilling, and change management. The event emphasizes real-world use cases and operational efficiency in oil and gas.

The presentation examines how bottomhole assembly (BHA) design can change gas fraction, solids concentration, and pressure and velocity conditions at the pump intake—conditions that surface adjustments such as pumping speed, stroke length, and pump-off controls cannot change. It analyzes a six-year dataset of Bakken rod-pump wells, treating the BHA as a single hydraulic system rather than evaluating components individually. The comparison covers a conventional arrangement, where the tubing anchor restricts flow through the remaining casing annulus, and a flow-through arrangement that routes flow past the anchor using ported subs. The described design provides parallel internal and external flow paths for gas and liquid, with a higher-velocity solids section below the degassing section. For the evaluated configuration in 7-inch casing, the effective open area is 18.45 square inches, compared with 5.41 square inches for a conventional full-bore anchor; the source reports approximately 70% lower local superficial velocity. A six-year paired evaluation of more than 1,200 Williston rod-pumped wells found median fluid and gas increases of 17.5% and 23.3% among wells adopting the geometry, compared with same-configuration controls. The presentation also addresses where the response is most consistent—below approximately 300 BFPD—and the economics of making the change during a scheduled workover.

Sessions examine natural gas market fundamentals for AI data center demand, including basin capabilities, rig activity, storage trends, pipeline bottlenecks, competition with LNG exports and other electricity demand, and commercial strategies for procurement, hedging, and risk management. The program also addresses AI and predictive analytics for pipeline nominations, forecasting, capacity management, and gas-flow optimization, plus integration with ERP, ETRM, CRM, and SCADA systems. Infrastructure discussions cover pipeline capacity, reliability and right-of-way; regional transmission, distribution and generation investment; federal-land development models; and the commercial and regulatory structures needed to advance large-load projects. Utility service challenges include pipeline limitations, public perception, permitting, capital requirements, commercial structuring, cost allocation, reliability obligations, and protecting existing customers. A developers roundtable covers demand forecasts versus speculative projects, developer qualifications, speed-to-power and behind-the-meter strategies, gas procurement, community hurdles, and regulatory and policy issues. Other sessions address mobile gas delivery and virtual pipelines, including CNG/LNG solutions for remote or capacity-constrained markets. The keynote considers AI-driven electricity demand, gas and electric utility bottlenecks, regional load growth, and nuclear energy. A Texas-focused panel examines policy, technology, research, planning, permitting, investment, and cross-sector coordination for large-load development, including data centers and advanced manufacturing.

The conference theme is “Pipeline to Possibilities: Securing Energy, Shaping Futures.” Stakeholder Engagement & Outreach covers community and public engagement, API Recommended Practices 1162 and 1185, environmental justice, Tribal and First Nation considerations, emergency responder education, and damage prevention. Pipeline Operational Excellence addresses safety performance, in-line inspection lessons, pipeline safety management systems, safety culture, management of change, asset remediation, and operational and enterprise risk management. Technology, AI & Innovation includes inspection tools, engineering practices, control room technologies, artificial intelligence, API RP 1165, and emerging fuels. Workforce Training & Development covers succession planning, knowledge transfer, recruitment and retention, multigenerational workforces, operator qualification, inspector certification, and competency-based learning. Sustainability & New Fuels addresses CO2, hydrogen and other low-carbon fuels; safety, integrity, leak detection, corrosion management, emergency preparedness, methane emissions, and environmental stewardship. Other tracks address pipeline construction, project management, commissioning, major maintenance, contract management and trenchless technologies; leak detection systems and predictive analytics; SCADA/OT modernization, industrial control system cybersecurity, threat response and regulatory compliance; and alarm and control room management, including fatigue mitigation, controller training, management of change, records, and regulatory interpretations.

The workshop focuses on practical well integrity solutions across barrier design, remediation, qualification, and lifecycle risk management, emphasizing applications, new technologies, and process methodologies. Field lessons, technical perspectives, and interactive discussion connect engineering principles with real-world deployment challenges. Session topics include cement as a barrier, including establishing cement barriers in a complex onshore U.S. exploration well with a narrow pore-pressure/fracture-gradient window, cementing best practices, and wellbore cementing. Another session covers production-casing integrity risk management, detecting fluid- and cement-driven casing defects through the production life cycle, and artificial-lift decisions under wellbore constraints. An interactive case study has teams solve well integrity challenges and exchange lessons learned and best practices. Further topics include barrier qualification and P&A operations; rigless well integrity remediation; surveillance technology; integrated monitoring for CCS well integrity; corrosion and materials challenges in CCUS Class VI wells; thermal heavy-oil well design; quantitative risk analysis; DHSV strategies in subsea wells; FEP risk assessment using individual barrier evaluation; alternative barrier materials for conventional Australian well abandonments; Permian well integrity solutions; and sealants for flow through narrow pathways.

Examines how casing design has evolved from early load-case frameworks and why traditional tubular stress analysis can fall short in complex wells. Topics include HPHT wells, extended-reach drilling, multistage-fractured unconventionals, subsea wells with sealed annuli and trapped-annular risk, CO₂ injection for carbon capture and storage, and super-hot geothermal wells. The presentation addresses how incomplete or oversimplified pressure, temperature, and load descriptions contribute to tubular failures; the role of rigorous load cases in consistent design; and engineering judgment, model selection, and improved load modeling across well lifecycles.

The program focuses on cybersecurity for the oil and natural gas industry, with an emphasis on safety, best practices, innovation, and resilience. Listed subjects include application security and SecDevOps; compliance and new regulations; ICS cybersecurity; identity and access management; cyber incident management; next-generation SOC and security orchestration; generative AI platform risks and security; zero trust; threat hunting and threat intelligence; cyber insurance; the human element; and cybersecurity architecture. The program also includes a CISO leadership panel, a cyber incident management workshop, an API conference retrospective and past-chair panel, and the keynote session “AI Made Me Do It: Confessions of an AI-Era CISO.”

URTeC and the Offshore Technology Conference will be co-located while retaining distinct technical focuses. URTeC centers on unconventional resource development, with shared industry priorities that include capital efficiency, digital transformation, emissions reduction, and operational performance. Technical themes include operator case studies integrating geology, geophysics, geomechanics, completions, and reservoir engineering across exploration, appraisal, pilot testing, and development; advanced formation evaluation using well logs, core and fluid characterization, digital rock technologies, and petrophysical interpretation; geological and geophysical methods for prospectivity, acreage assessment, seismic imaging, reservoir characterization, and produced-water management; and geomechanics in well design, hydraulic fracturing, production, and refracturing. Other themes address geochemistry and fluid-rock interactions, including applications to geothermal energy and critical minerals; AI and data science for subsurface characterization, reserves estimation, drilling, completions, and production forecasting; enhanced recovery and restimulation, including gas and CO₂ injection, chemical agents, simulation, and field surveillance; and reserves estimation and production forecasting. Clean-energy topics include methane monitoring and mitigation, electrification, flaring reduction, geothermal development, infrastructure repurposing, helium and hydrogen, critical-mineral extraction, and produced-water treatment, reuse, and mineral recovery. Well-level interventions include remediation, sidetracks, artificial lift, diagnostics, and intervention economics.

The lecture examines how zone permeability, fluid content, formation pressure—including reservoir recharge prediction—and caprock integrity inform subsurface isolation requirements and abandonment barrier placement. It addresses technical and operational challenges of well abandonment, including defining key isolation parameters when data is limited, what happens when an abandonment plan proves unworkable in practice, and cost implications and optimization opportunities. Case studies demonstrate collaboration between subsurface specialists, well engineers, and operators to develop a robust subsurface basis of design for abandonment. The presentation covers effective decision-making, risk-mitigation strategies, the benefits of engaging a subsurface team throughout the project, and a data-driven, risk-based approach to well decommissioning.