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Companies need effective talent acquisition and retention programs to succeed in the pending economic recovery.

In recent years, sustainability has emerged as perhaps the most critical imperative of this century.

The most-competitive emerging systems blend artificial intelligence to bring better efficiency to the human work that results in good business decisions. As a result, we waste less time and fewer resources finding and manipulating data and focus more on complex engineering judgment.

The need to offset declining production from mature basins, as well as the ability of international oil companies to access larger reserves with the use of new exploration-and-production technology, will continue to drive deepwater expenditure.

The featured papers all show improved solutions for constructing multilateral and long-reach wells. They show the dynamics of a continuous striving for improvements. These well types are very important tools in the search to maximize recovery from petroleum fields.

This paper provides an insight into the challenges encountered and overcome during installation of 20 subsea structures, some close to 1000 t in weight and in water depths of up to 1350 m, for the Gorgon project offshore Western Australia.

This paper reviews clusters of information that will be termed “building blocks” for deepwater-field-development planning, discussing how they are currently used and exploring more-affordable, but technically robust, alternatives.

This technical paper describes the planning and execution of a multiservice-vessel (MSV) -based hydraulic-intervention campaign in Chevron’s Tahiti field in the US Gulf of Mexico.

With the availability of more-complex smart-well instrumentation, immediate evaluation of the well response is possible as changes in the reservoir or well occur.

This paper will describe how one integrates a comprehensive methodology of data-mining techniques and artificial neural networks (ANNs) in reservoir-petrophysical-properties prediction and regeneration.