Fracturing/pressure pumping

The authors of this paper propose an artificial-intelligence-assisted work flow that uses machine-learning techniques to identify sweet spots in carbonate reservoirs.

This paper describes an effort to use multiple technologies to better understand an Arkoma Basin reservoir and the interdisciplinary relationship between the reservoir’s subsurface hazards and a stimulation treatment.

The main objective of this paper is to investigate the relationship between strain change and pressure change under various fractured reservoir conditions to better estimate conductive fractures and pressure profiles.

Fracturing companies can’t connect to the electric grid fast enough as they seek to reduce emissions, save costs.

Permian Basin oil wells produce a lot of water. Much of it is injected into disposal zones above and below the basin’s primary oil- and gas-producing zone. When water is injected into these disposal zones, the pressure increases, mainly because no fluid is concurrently removed. Is this increase in pressure a concern? The data would suggest yes.

The authors of this paper describe a model-driven work flow developed for hydraulic fracturing design and execution that could be a resource for other shale plays with similar challenges worldwide.

This paper presents a case study of integrated geomechanical and reservoir simulation with a developed fracture conductivity calculation work flow to evaluate well spacing and completions design.

The purpose of hydraulic fracture modeling is to improve engineering decision-making. Success requires practical knowledge, engagement with real data, theoretical understanding, and critical thinking. The payoff is tremendous.

The authors of this paper write that computationally coupled models enable swift, accurate, and engineered decision-making for optimal asset development.

BKV Corp. has combined bullhead and liner refracturing methods to create an approach called the hybrid expandable liner system.