SPE News
Leaders of SPE’s Artificial Lift Technical Section outline the group’s mission, recent technical highlights, and a growing slate of global events shaping the future of artificial lift.
SPE’s newest technical community, the Critical Minerals Technical Section, aims to connect petroleum expertise with emerging opportunities to extract lithium, rare earth elements, and other critical minerals from subsurface reservoirs and industrial brines.
Initiative identified as the single highest-priority action to support geothermal capital market creation following a 2-year expert analysis of financial barriers to exponential-scale geothermal development.
-
Fundamental research conducted to derive a transport model for ideal and partitioning tracers in porous media with two-phase flow that will allow fast and efficient characterization and selection of the correct tracer to be used in field applications. -
Join us in congratulating the International Award recipients.
-
A self-updating and customizable data-driven strategy for real-time monitoring and management of screenout, integrated with proppant filling index and safest fracturing pump rate, is proposed to improve operational safety and efficiency at field scale.
-
The 2-day event hosted in Turin, Italy, provided a common platform across various disciplines, spotlighting the notable scientific and technical advancements in the energy transition.
-
SPE President Terry Palisch is joined by SPE CEO Simon Seaton to discuss the member value survey and what is new with ATCE.
-
Speakers from various disciplines and professions focus on industry trends, challenges, technology applications and advances. Scheduled DL events are in-person meetings only.
-
-
A seismic prediction model is developed and presented in a case study to simulate the magnitude and timing of triggered seismic events with the intent to manage and mitigate environmental impacts resulting from induced seismicity during subsurface development activities.
-
The one-day symposium provided an opportunity for industry collaboration including networking, the exchange of best practices, and development of actionable strategies.
-
A universal, automated approach to condition-based maintenance of drilling rig mud pumps is developed using acoustic emission sensors and deep learning models for early detection of pump failures to help mitigate and reduce costs and nonproductive time generally associated with catastrophic pump failures.
