DSDE: In Theory

The authors of this paper present an application of a Bayesian framework for uncertainty assessment and efficient history matching of a Permian CO2 enhanced oil recovery field for reliable production forecast.

This paper presents results from evaluating the rate of thermal energy that can be extracted under various completion scenarios in end-of-life oil and gas wells using a transient flow simulator.

The authors of this paper discuss an integrated cloud-based work flow aimed at evaluating the cost-effectiveness of adopting geothermal production in low- to medium-enthalpy systems.

This paper provides a work flow based on research in two methodologies to estimate formation-water salinity, enhancing the quality of saturation evaluation for quick decision-making during logging operations.

This paper presents a survey of air/water and air/water/sand flow through circular and triangular pipes to study potential effects of triangular pipe geometry.

This paper highlights the potential of machine learning to be used as a tool in assisting the drilling engineer in bit selection through data insights previously overlooked.

This research addresses the bottlenecks experienced in supply-chain management (SCM) in an African hydrocarbon company. These bottlenecks slow down processes and make the procedures tedious, leading to operational inefficiencies. This paper discusses the security of the SCM data and the overall automation of the procurement value chain, providing transparency to the s…

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

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.

The authors of this paper develop a model that can predict well-risk level and provide a method to convert associated failure risk of each element in the well envelope into a tangible value.