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While the industry is adopting the technology, one expert highlights areas where the oil and gas sector could speed up the adoption of artificial intelligence.

This paper describes an intelligent completion design installed in two deepwater wells with dual-zone stack-pack sand-control lower completions and the installation of an intermediate string to isolate the reservoir in each zone.

This paper describes the building of a geomechanical model for an offshore field that integrated drilling, geology, petrophysics, and reservoir data to play a major role in the drillability and deliverability of the reservoir.

This paper describes a solutions hub that integrates engineering tools to maximize value and improve decision quality using recent digital technologies.

Controversial metals-rich nodules sitting on the seafloor could hold the key to increased battery production needed to support the energy transition.

The upstream oil and gas industry continues to drive innovation in its quest to solve the monumental challenge of supplying energy to the world in an affordable, secure, and sustainable way.

It takes only 3 days for an LNG carrier or oil tanker to reach India from East Africa where Tanzania is destined to become an LNG exporter together with its neighbor Mozambique and a transit point for Ugandan oil exports.

The mid-sized completions service provider is betting that automation will boost the competitiveness of natural gas-powered pumps.

Paraffin deposition on the meters measuring produced water volumes causes inaccurate readings. New technology solutions enable lasting accuracy in the place of routine maintenance that provides a temporary solution.

Geologists have identified a formation with a world-changing potential for carbon dioxide storage, but some engineering is required.

High energy prices and a greater focus on energy security will not slow the world’s long-term ambition for a low‑carbon future. However, annual analysis by DNV believes unprecedented pressure is reinforcing a two‑speed energy transition. 

This paper proposes a series of work flows to simplify model deployment and set up an automatic advisory system to provide insight in justifying an engineer’s day-to-day engineering decisions.