Abstract Machine learning application in the oil and gas industry is rapidly becoming
popular and in recent years has been applied in the optimization of production for various …

The objective of this project is to construct a 1D mechanical earth model for the prospective
geological sequestration of carbon dioxide (CO2) into carbonate formations. The study …

This paper aims to apply a numerical reservoir simulation incorporating geomechanical
properties to determine the optimal well spacing, the number of hydraulic fracture stages per …

This paper aims to present a workflow to estimate optimal well-spacing in the Wolfcamp A
formation in Lea County, New Mexico. The failure to predict optimal well-spacing could lead …

碳酸盐岩气井普遍具有储层非均质性强, 产层段长且常采用裸眼或筛管方式完井的特点,
因此实施针对性, 差异化, 均衡酸化, 是提高碳酸盐岩气藏酸化效率, 降低储层改造成本 …

In recent years, artificial intelligence applications have proved useful for analyzing
petrophysical data and characterizing subsurface formations. Conventional reservoir …

Underbalanced foam drilling (UBFD) represents a pivotal technique aimed at enhancing
safety and operational efficiency within drilling operations. Despite its recognized benefits …

Wellbore stability problems increase with the exploration and development of oil and gas
reservoirs. A new 3D non-linear failure criterion is proposed as a trigonometric function …

As the development of well types for low permeability reservoirs shifts from vertical to highly
inclined/horizontal wells, targeted studies of oil and gas reservoir damage must be …

CO2 geological storage, where supercritical CO2 is injected into underground porous
formations for long-term sequestration, is one of several mitigation strategies that have been …