DSDE: In Theory
-
In this paper, alternative approaches to solids characterization are presented that lend themselves better to automation and real-time monitoring than API retort measurement. -
In the authors’ study, a machine-learning predictive model—boosted decision tree regression—is trained, tested, and evaluated in predicting liquid holdup in multiphase flows in oil and gas wells.
-
Intellilift and Transocean are working together on a software solution to expedite the well construction process.
-
Innovative oil and gas companies are leveraging blockchain, but the industry as a whole may be slow to adopt the technology.
-
The authors describe an integrated geological-engineering data-management project covering all aspects of well-engineering work flows.
-
This paper presents a comprehensive comparison of two modeling-based approaches of fluid tracking for condensate allocation and gas usage.
-
The outcome of the authors’ experiments revealed that the tertiary injection of nanoparticles results in additional oil recovery beyond the limit of low-salinity water.
-
This paper describes a technique used to derive stresses for a gas-storage field and then calibrate the 1D mechanical earth model of the field.
-
The authors report that nanopolysilicon can be used effectively as a depressurizing, injection-increasing agent.
-
A well-pattern-design work flow proved able to identify substantially better patterns than the traditional approach for a giant mature field.
Trending Now on DSDE
Get JPT articles in your LinkedIn feed and stay current with oil and gas news and technology.