Data & Analytics
Reaching further than dashboards and data lakes, the agentic oil field envisions artificial intelligence systems that reason, act, and optimize.
This paper introduces an agentic artificial-intelligence framework designed for offshore production surveillance and intervention.
The objective of this study is to field test a non-nuclear multiphase flowmeter and assess its performance under challenging operating conditions.
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This study presents a novel hybrid approach to enhance fraud detection in scanned financial documents. -
This paper describes a decision-support system that integrates field data, system specifications, and simulation tools to quantify system performance, forecast operational challenges, and evaluate the effect of system modifications in water management.
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This paper presents an approach to management and interpretation of pipeline-integrity data, ensuring integrity, safety, and reliability of the operator’s critical pipelines.
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This paper describes the development of a system for comprehensive mapping and asset registration using a digital-twin approach.
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This paper describes a machine-learning approach to accurately flag abnormal pressure losses and identify their root causes.
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Data and impartial viewpoints can help de-risk exploration portfolios and keep resource estimates in check.
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GeoMap Europe is the latest in a series of interactive global geothermal maps that combine large subsurface and surface data sets to highlight where geothermal resources and development opportunities are strongest for power, heat, cooling, and storage.
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Even as industry faces policy and tariff uncertainty, companies view spending on digital transformation as a driver of efficiency.
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Geophysicist Markos Sourial discusses advances in seismic imaging, the challenges of modern data processing, and what they mean for the next wave of subsurface professionals.
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The Tela artificial intelligence assistant is designed to analyze data and adapt upstream workflows in real time.
