Testing page for app

The supermajor redefined its Mad Dog II development in three key ways: a blank-sheet redesign to cut costs, altering the way it works as a result of the COVID-19 pandemic, and a digital twin offering unique access to the asset from anywhere in the world.

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

This paper describes the material selection methodology and corrosion studies performed in a CO2 sequestration project to optimize well costs and improve overall project economics without jeopardizing the CO2-injector-well integrity.

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.

This paper presents an intelligent tube solution that combines data retrieved by the sensors with the actual resistance of each pipe in the well to allow adjustment of production parameters while ensuring installation safety.

This paper introduces a method using a Bayesian network to aggregate trends detected in time-series data with events identified by natural language processing to improve the accuracy and robustness of kick and lost-circulation detection.

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.

Benriach well finds subeconomic natural gas accumulation.

Well and sidetrack encountered pay in the targeted Santonian interval.