Completions
![JPT_2025-09_GuestEd1_SS_382853197[4].jpg](https://assets.spe.org/dims4/default/d929328/2147483647/strip/true/crop/850x566+0+1/resize/850x566!/quality/90/?url=http%3A%2F%2Fspe-brightspot.s3.us-east-2.amazonaws.com%2F8a%2F95%2Fe4e82cb54fd597d497a5b1267f8a%2Fjpt-2025-09-guested1-ss-3828531974.jpg)
Intelligent completions could improve many of the world’s oil and gas wells, but not all are suited to the technology. There is another option.
Casing deformation has emerged as a major challenge in China’s unconventional oil and gas fields, prompting the development of new solutions to address the issue.
The US supermajor is using one of its lowest-value hydrocarbon products to generate double-digit production increases in its most prolific US asset.
-
This paper addresses the challenges related to well control and the successful implementation of deep-transient-test operations in an offshore well in Southeast Asia carried out with the help of a dynamic well-control-simulation platform. -
The authors of this paper propose an artificial-intelligence-assisted work flow that uses machine-learning techniques to identify sweet spots in carbonate reservoirs.
-
This paper describes an effort to use multiple technologies to better understand an Arkoma Basin reservoir and the interdisciplinary relationship between the reservoir’s subsurface hazards and a stimulation treatment.
-
The main objective of this paper is to investigate the relationship between strain change and pressure change under various fractured reservoir conditions to better estimate conductive fractures and pressure profiles.
-
Fracturing companies can’t connect to the electric grid fast enough as they seek to reduce emissions, save costs.
-
Typically, oil and gas producing wells are abandoned toward the end of their life cycles with reservoir pressures depleted compared with the virgin pressures. Carbon capture and storage projects, however, present different operating conditions.
-
The authors of this paper describe a suite of technologies that enables enhanced well robustness and performance modeling and monitoring of carbon storage facilities.
-
This paper presents the proof of concept of artificial-intelligence-based well-integrity monitoring for gas lift, natural flow, and water-injector wells.
-
The authors of this paper describe a project in which Raleigh frequency-shift distributed strain sensing monitored during production in a far-field observation well was translated to an estimated pressure profile.
-
This paper defines conditions for optimized well-diagnostics investigation and describes a rigless solutions for common well-barrier failures and lessons learned from operator field trials.
