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This paper describes a virtual metering tool that can monitor well performance and estimate production rates using real-time data and analytical models, integrating commercial software with an optimization algorithm that combines production and reservoir information.

One would think that, in these challenging times, high-pressure/high-temperature technology and projects would be put on the back burner, with everybody chasing zipper-fractured barrels from shale. Well, it is not so.

This paper describes an accurate, three-step, machine-learning-based early warning system that has been used to monitor production and guide strategy in the Shengli field.

This paper describes a high-pressure/high-temperature (HP/HT) expandable liner hanger product that offers metal-to-metal and elastomer sealing capabilities at the liner top in the host casing.

The complete paper presents a practical approach for validating design-verification analysis for subsea equipment, using a representative pressure valve block to correlate finite-element analysis (FEA) predictions for strain changes with actual measured changes.

Happily, in this past year, we witnessed several examples of marriage between two themes—exciting technology advances and the recent economic downturn. In other words, necessity for survival in hard times provided the impetus for innovation.

The complete paper describes the generation of additional fundamental solubility data under HP/HT conditions and comparison of the obtained values with several existing models.

In this study, the authors use a quantitative seismic interpretation work flow (QSI) based on a rock-physics template in estimating the uncertainty of the geochemical properties of organic mudrocks of the Shublik formation of the Alaskan North Slope.

This paper demonstrates how maintaining investment in high-quality 3D seismic during the last downturn, together with selective exploration, quality geoscience, application of new technologies, and efficiently maturing discoveries to early cash flow, was successful in sustaining future production.

In this paper, the authors propose a least-squares Q migration (LSQM) method that combines the benefits of both LSM and Q prestack depth migration (QPSDM) to improve the amplitude fidelity and image resolution of seismic data.