DSDE: In Practice

This paper presents agile technologies that integrate data management, data-quality assessment, and predictive machine learning to maximize asset value using underused legacy core data.

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 highlights a tailored chemical treatment strategy developed for solids mitigation for a Delaware Basin operator.

The complete paper builds on existing tools in the literature to quantify the effect of changing well spacing on well productivity for a given completion design, using a new, simple, intuitive empirical equation.

The authors of this paper describe a project that integrates carbonate stratigraphic forward models of outcropping formations and reservoir-modeling work flows.

With so much volatility in the sector, acutely felt by many western consumers, how are intelligent work flows enabling the shift toward alternatives?

The COVID-19 pandemic caused a major disruption to industry training programs and university geoscience courses as travel restrictions and lockdowns created the need for digital alternatives. Although virtual field trips had been gaining traction before the pandemic, the sudden need to replace physical field activities has driven a rising interest to allow geologists …

This paper presents a work flow that has been applied to crossdipole sonic data acquired in a vertical pilot well drilled in the Permian Basin.

This paper describes a new intelligent dosing technology to reduce liquid loading in an unconventional tight gas reservoir.

The paper investigates estimation of optimal design variables that maximize net present value for life-cycle production optimization during a single-well CO2 huff ‘n’ puff process in unconventional oil reservoirs.