Testing page for app

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.

In this paper, the effect of cold-water injection on pressure transient analysis (PTA) of geothermal reservoirs is studied by varying the temperature of the injected cold water from room temperature to reservoir temperature.

This paper describes an autonomous drilling approach using an autocurve-drilling mode to automatically drill curved sections without human intervention and complete autonomous well construction.

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.

This paper presents an approach for automatic daily-drilling-report classification that incorporates new techniques of artificial intelligence.

The authors of this paper present the results of implementing a rig-automation solution applied to 20 wells in Ecuador in 2022.

This paper presents a case study on injectivity tests to prove the concept of carbon capture, use, and sequestration capability, describing the design of surface and downhole testing systems, lessons learned, and recommendations.

The authors of this paper describe a seismic reprocessing campaign for an Egyptian oil field that had yielded poor seismic data.

The authors of this paper investigate the application of two seismic monitoring methods in monitoring carbon leaks: full waveform inversion and reverse-time migration.