pressure monitoring

This work proposes a method to interpret far-field strain-change and pressure data to quantify fracture connectivity and properties at the cluster level.

The authors propose a hybrid virtual flow and pressure metering algorithm that merges physics-based and machine-learning models for enhanced data collection.

This paper discusses the concept, applications, and continual evolution of a new 3D temperature and spectral-acoustics modeling and logging approach.

This paper presents various functionalities and benefits of a monitoring tool developed for and used with all critical flowmeters in the operator’s production system.

The aim of this study is to address and discuss the reservoir engineering aspects of geological hydrogen storage.

This paper’s focus is a case study of an Eagle Ford refracturing project in which a range of completion designs were trialed with an approach using offset sealed wellbore pressure monitoring and fiber-optic strain.

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 use a pattern-review technique in a complex brownfield as a tool to understand reservoir connectivity and dynamic fluid movements across the field.

This paper explores a holistic approach to characterize trouble stages by applying automated event recognition of abnormal pressure increases and associating those events with formation and operational causes.

In this work, a methodology to detect interference from long-term pressure and flow-rate data is developed using multiresolution analysis in combination with machine-learning algorithms.