Testing page for app

In recent years, projects in upstream oil and gas have become more complex, remotely located, and, therefore, costly and difficult to deliver.

After acquiring Berry Petroleum in 2013, Linn Energy became the operator of heavy oil fields in California’s San Joaquin Valley.

Managing the business amid the downturn in the price of oil and overcoming the challenges facing the industry topped discussions during the 19th annual Middle East Oil & Gas Show and Conference (MEOS), held in Manama, Bahrain, in March.

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.

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.

The development of multilateral wells and long-reach wells has become important to maximizing recovery for many oil fields.