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Remote operations and automation have reshaped the drilling landscape in recent years, but this may be just the beginning. Find out here which big milestones may be coming up next for the drilling sector.

This paper presents a numerical simulation work flow, with emphasis on hydraulic fracture simulation, that optimizes well spacing and completion design simultaneously.

Makers of continuous sucker rods are out to convince customers that it really is possible to make a better sucker rod that could save them some money.

Recent studies have reignited the question of whether US oil and gas companies are ignoring the opportunity to refracture large swaths of maturing assets.

This paper describes the deployment of an ultradeep electromagnetic directional-resistivity instrument to map injection-water movement.

The authors discuss the development of a deep-learning model to identify errors in simulation-based performance prediction in unconventional reservoirs.

This paper shares details of 2 years of monitoring the first commingled updip smart water injector drilled in the Piltun area of the Piltun-Astokhskoye offshore oil and gas field.

In this second part of a two-part series on advances in artificial lift, we’ll look at the state of optimization and a trio of techniques and technologies under development or new to the market. Look for quarterly reviews of specific types of lift in upcoming issues in the new year.

US GOM players have come out of the pandemic slowdown with new perspectives on spending and cycle times and are targeting finds that can utilize existing hardware instead of those that require new iron.

A consortium of 20 organizations, REX-CO2, including research institutions, operators, and regulatory authorities, studied mature wells in two areas of the UK Continental Shelf. Subsurface data were evaluated and verified the wells’ potential suitability for both reuse and CO2 injection and storage.

The CO2 capture capacity of all CCS facilities under development increased 44% over the past 12 months, bringing the total capacity of those projects to 244 mtpa of CO2.

This paper discusses a waterflood optimization system that provides monitoring and surveillance dashboards with artificial-intelligence and machine-learning components to generate and assess insights into waterflood operational efficiency.