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R&D is essential for the industry, regardless of the current oil price, and past down markets have spawned some key technology advances, ExxonMobil researcher Erika Biediger told the SPE Gulf Coast Section R&D study group recently.

Phrases such as “dawn of the new age of the oil and gas industry,” and “the fourth industrial revolution” echoed through halls of SPE events in 2017 and into the new year, with rapid advancements in big data management, digital connectivity, and high-performance computing.

This paper details the operational effects of closed-loop drilling to demonstrate its ability to yield operational-process-safety improvements and cost savings over conventional methods.

More than a year ago, Ramanan Krishnamoorti and his team at the University of Houston started working on a predictive model that could alert oil and gas company employees when a problem might arise—and how to mitigate it.

The Turritella FPSO (Fig. 1 above) is the deepest floating production system in the world and presented many challenges to successful execution of the surface host facilities.

The integrity management of flexible pipes used in subsea production plays a major role in maximizing the availability of the production systems while minimizing safety and environmental risks.

The Constitution spar in the Gulf of Mexico has an original nameplate separation capacity of 70,000 BOPD and 200 MMscf/D of gas. Production potential from future developments is expected to exceed this limit.

The shutting in of unprofitable offshore wells and the requirements for their plugging and abandonment is attracting more attention to what is being done with the associated subsea equipment. The benefits of leaving subsea systems in place vs. recovering them are being considered.

This paper discusses the technical challenges related to implementing a rigsite, real-time drilling advisory system and current solutions to these challenges.

An operator partnered with the drilling-automation research group at The University of Texas at Austin to develop a work flow for big-data analysis and visualization. The objectives were to maximize the value derived from data, establish an analysis toolkit, and train students on data analytics.