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Advancement of the integration of seismic with other oilfield disciplines has been fueled by two factors. First, advances in seismic technologies naturally led to more-powerful integration. Second, developments in seismic were motivated in direct response to the needs of interpreters and engineers.

Cost optimization in heavy-oil production can be achieved through numerical modeling to suggest general optimal strategies and development plans or by using proper real-time data acquisition … for prompt decisions while operations are ongoing.

Recent studies have found that the viscosities of borate gels at actual downhole pressure conditions may be 80% less than those from standard high-pressure/high-temperature rheometer measurement (which uses 400-psi top pressure).

This paper examines the chemistry of developing seawater-based fracturing fluids using two types of polymers as gelling agents and compares results to existing fresh-water-based-fracturing-fluid data under different conditions.

A real-time production-surveillance and -optimization system has been developed to integrate available surveillance data with the objective of driving routine production optimization.

This paper presents the results of a comprehensive multiphase-flow study that investigated the relationship between the principal stresses and lateral direction in hydraulically fractured horizontal wells.

This paper describes how the use of production-modeling tools, coupled with field pressure/temperature-data-acquisition systems and programming software, served as a means to improve production allocation and surveillance on a real-time basis in the Greater Angostura Field.

The authors used a high-quality digital-log data set to characterize reservoir quality accurately in the Niobrara and Codell Formations in the Denver-Julesberg (DJ) Basin.

The A East Haradh formation contains a 200-m-thick oil column of highly viscous oil, with viscosity ranging from 200 to 400,000 cp.

A consultant examines the ways in which artificial intelligence and machine learning solutions may have a significant impact on industry operations.