Testing page for app

Production data from the oldest horizontal wells in the three largest oil plays in the US show that annual decline rates remain relatively high for a long period of time. This challenges assumptions held about production after 5 years and directly affects reserve and ultimate recovery estimates.

Rigs drilling faster earn less money per foot because they are contracted by the day. But at least they are still working. Now service companies are developing new rigs with more automated functions, and want increased rates based on the productivity gains achieved.

Oil companies are considering whether shutting in a well for a month or so may mean stronger production later by allowing more time for water to soak into the rock, which gets it out of the way of the oil and gas. But this is not always effective, and additional work is needed.

This month is the deadline to nominate someone for one of SPE’s numerous international awards. The awards are designed to recognize individual contributions to the oil and gas industry and to the petroleum engineering profession.

Without exception, the featured articles reflect increased volumes of surface and downhole data that are being captured and analyzed to enable deep learning, improved efficiency, safety, and value.

This paper discusses how oil and gas companies are using a new generation of AI-driven applications powered by computational-knowledge graphs and AI algorithms to create a digital knowledge layer for oil and gas wells that provides a timeline of significant well events.

In my inaugural column as editor of the Well Testing Technology Focus feature, I want to shine a light on the notable trend among operators of seizing on the tremendous untapped potential that exploration and appraisal wells represent for far-field reservoir characterization and connectivity.

This paper describes the use of a downhole temperature-sensor array during a commingled drillstem test (DST) to determine the density of produced fluids accurately.

This paper applies a new constrained multiwell deconvolution algorithm to two field cases: a gas reservoir with two producers and an oil reservoir with three producers and one injector.

Drilling systems automation (DSA) is moving into commercial activities on a broad front. Equipment suppliers are delivering automated drilling-control systems, and everyone (equipment suppliers, service companies, drilling contractors, operators) is delivering systems-automation applications.