modeling

In this paper, the authors present data analyses to comprehensively evaluate the performance of a steady-state multiphase-flow point model in predicting high-pressure, near-horizontal data from independent experiments.

This paper highlights a thermodynamic modeling approach used to determine the optimal depth for installation of a wax-inhibition tool.

The authors of this paper describe a procedure that enables fast reconstruction of the entire production data set with multiple missing sections in different variables.

The authors of this paper describe a project in which retrofitted autonomous inflow control devices were deployed successfully in a field to minimize water production and maximize oil recovery.

A new program offers an affordable way to figure out if salt precipitation could be behind underperforming gas wells and suggests a path to higher production.

This paper describes a work flow that integrates data analysis, machine learning, and artificial intelligence to unlock the potential of large relative permeability databases.

The objective of this study was to establish an efficient optimization work flow to improve vertical and areal sweep in a sour-gas injection operation, thereby maximizing recovery under operation constraints.

The objective of this paper is to present a fundamentals-based model of three-phase flow consistent with observation that avoids the pitfalls of conventional models such as Stone II or Baker’s three-phase permeability models.

In an industry where methane leaks and carbon dioxide storage are increasingly important concerns, finding new ways to seal leaks is a valuable skill.