Testing page for app

Updates about global exploration and production activities and developments.

The objective of this microfluidic investigation is to identify and test two novel applications for magnetic fluids in porous media for subsurface oilfield applications.

This paper explains that the discovery of specific pressure trends, combined with an unconventional approach for analyzing gas compositional data, enables the detection and prediction of paraffin deposition at pad level and in the gathering system.

The aim of this study is to incorporate detailed geological, petrophysical, and hydraulic fracturing models to better predict and mitigate the effects of interbench interactions.

Outstanding papers over the past year have addressed topics such as casing deformation, well spacing, frac-design optimization, proppant transport in the well or in fractures, integrating diagnostics from field trials, and exploring the effects of lateral length on production.

The objective of this paper is to apply a developed workflow to determine the propped hydraulic fracture geometry in a horizontal multistage fractured well, incorporating production, pressure, and strain data.

This paper presents an approach to subsea hydrate-risk management based on the understanding that some crudes have induction properties that delay hydrate formation even when the pressure and temperature conditions reach the hydrate thermodynamic region.

One major challenge for drilling-fluid engineers is the design and management of optimal drilling-fluid formulations in emerging frontiers—fractured formations and high-pressure geothermal environments. Recently, operators have leveraged cutting-edge technology such as machine learning and expanded data-driven techniques to facilitate the development of new drilling-f…

This study compares water-based chemicals including surfactants, nanoparticles, and ketones that can be used for enhancing the oil recovery of shale-oil reservoirs.

The advancement of flow-assurance technology can be characterized as a transition from reactive to proactive, from laboratory-scale examination to field applicability, and from data-driven to big data and physics integration.