Testing page for app

There is talk about digital oil fields and big data and some striking examples of their power. But in real oil fields, a lot of operators are still running fields with systems relying on big paper.

A new intelligent model that successfully learns from high-dimensional data and effectively identifies high-production areas and optimum lateral-re-entry candidates is presented.

For thin-oil-rim reservoirs, well placement, type and path, and well-completion methods, should be evaluated with close integration of key reservoir- and production-engineering considerations.

Artificial-intelligence (AI) -based methods have become mainstream engineering, and we as practitioners need to have a firm understanding of the principles and be ready to apply them when the opportunities arise.

Our industry’s demonstrated ability to innovate and continually improve well-construction technology will be all the more valuable to all plays if low oil prices persist, but especially so for shale and other high-cost-per-barrel plays.

This study examines the effects of drilling, completion, and production operations and their associated cyclic stresses on a cement sheath.

The combination of ultrasonic pulse-echo and flexural-attenuation measurements was adopted in this project in the South China Sea for cement-integrity evaluation.

The first multilateral well in a North Kuwait field has been drilled recently.

Complex reservoirs in the Junín block of the Orinoco oil belt of eastern Venezuela offer challenges in achieving higher production rates and maximizing extraheavy-oil recovery.

Al Khalij field offshore Qatar is formed of a highly heterogeneous carbonate reservoir with significant remaining dynamic uncertainties.