A high rate of penetration (ROP) is considered one of the most sought-after targets when drilling a well. While physics-based models determine the importance of drilling parameters, they fail to capture the extent or degree of influence of the interplay of the different dynamic drilling features. Parameters such as WOB, RPM, and flowrate, MSE, bit run distance, gamma ray for each rock formation in the Volve field in the North Sea were examined ensuring an adequate ROP while controlling the tool face orientation is quite challenging. Nevertheless, its helps follow the planned well trajectory and eliminates excessive doglegs that lead to wellbore deviations. Five different Machine Learning algorithms were preliminary implemented to optimize ROP and create a less tortuous borehole. The collected data was cleaned and preprocessed and used to structure and train Random Forest, Support Vector Regression, Ridge Regression, LASSO, and Gradient Boosting, XG boost among others and the appropriate hyperparameters were selected. A successful model was chosen based on maximized ROP, minimized deviation from planned trajectory, and lower CPF. An MAEP of 15% was achieved using GBM boost followed AdaBoost. The algorithms have demonstrated competence on the historical dataset, accordingly it will be further tested on blind data to serve as a real-time system for drilling optimization to enable a fully automated system.
This paper addresses the challenges in modeling highly unstable waterflooding, using both a conventional Darcy-type simulator and an adaptive dynamic prenetwork model, by comparing the simulated results with experimental data including saturation maps. This paper presents key challenges in surface-facilities-project implementation during the construction and operational-readiness phase of a project and presents results from full-field implementation. We report a novel type of viscosity modifier relying on the supramolecular assemblies that have pH-adjustable viscosities and robust tolerance against high temperatures and salinities, and are resistant to shear-induced degradation.
Emmanuel Ikehi, Richard Boakye Yiadom, David Semwogerere, and Lotanna Ohazuruike are this year’s recipients of the Imomoh Scholarship, which was endowed to the SPE Foundation by Egbert Imomoh to support excellence in education for students from Africa. In 2013, Ikehi served as a petroleum engineering intern at the Nigerian Petroleum Development Company. His journey to the Imomoh Scholarship began in 2012 when he inspired his course mates to form an SPE student chapter. He went on to become the pioneer secretary of the newly formed chapter. Since then, he has been an active member of SPE.
A senior process engineer from TechnipFMC discusses the ways in which inadequate design and sizing methodologies can lead to poor scrubber performance. The main drivers for sizing gas scrubbers have been performance requirements, process conditions, and project specifications. Computational fluid dynamics modeling has proven promising for improving scrubber performance. Jimmie Riesenberg, senior process adviser and separations lead at Chevron, discussed the finer points of a scrubber design in a presentation held by SPE Separations Technology Technical Section. The SPE Separations Technology Technical Section (STTS) continues its study of gas scrubbing technology with a special session at the 2015 SPE Annual Technical Conference and Exhibition on 28–30 September in Houston.
Use of surfactants and gas lift in combination to suppress severe slugging were tested. Surfactants were able to suppress severe slugging for most of the cases, and gas lift helped significantly. The presence of slug flow in the riser of the sunken Deepwater Horizon could make a significant difference in financial penalties for BP in the wake of the Macondo incident, an expert said. Riser slugging can restrict production and cause problems for downstream equipment. This paper discusses a simplified modeling approach to control of riser slugging.
The authors detail the development of a technique based on surface-to-borehole controlled-source electromagnetics (CSEM), which exploits the large contrast in resistivity between injected water and oil to derive 3D resistivity distributions, proportional to saturations, in the reservoir. In the complete paper, the authors present a novel methodology to model interwell connectivity in mature waterfloods and achieve an improved reservoir-energy distribution and sweep pattern to maximize production performance by adjusting injection and production strategy on the well-control level. This paper addresses the challenges in modeling highly unstable waterflooding, using both a conventional Darcy-type simulator and an adaptive dynamic prenetwork model, by comparing the simulated results with experimental data including saturation maps. Understanding of formation damage is a key theme in a waterflood project. An integrated multidisciplinary approach is required to determine an optimal design and strategy.
One of the oldest names in geomechanical modeling has learned some new tricks, and like so many recent advances in the oil and gas industry, it has everything to do with the North American shale revolution. This paper presents results from the analysis of the effect of in-fill drilling on parent-well performance, and describes a simplistic approach to understanding the effect of the quest for operational efficiencies and economic cycles on development strategies. One of the biggest ways to lower the cost of production from shale would be to identify zones that are productive, or not, before fracturing them.
Data-driven, or top-down, modeling uses machine learning and data mining to develop reservoir models based on measurements, rather than solutions of governing equations. Seminole Services’ Powerscrew Liner System is a new expandable-liner hanger that is set with torsional energy from the topdrive. Stuck pipe has traditionally been a challenge for the oil and gas industry; in recent years, operators have become even more determined to reduce the effect of stuck-pipe issues. The primary purpose of this study is to develop a method that overcomes the restrictions of rock-mechanics tests with respect to unconventional shale formations. The Earth is complex in all directions, and hydrocarbon traps require closure—whether structural or stratigraphic or both—in three dimensions.
This paper presents technologies and best practices to improve oil recovery in mature fields through waterflooding optimization. These technologies have proved practical and cost-effective. This paper presents the implementation of an approach for improving oil recovery by water-injection optimization using injection-control devices (ICDs) in unconventional reservoirs. The authors present a new data-driven approach to estimate the injection rate in all noninstrumented wells in a large waterflooding operation accurately. Currently, there are few studies on smart waterflooding in tight and very tight oil reservoirs.
A high-carbon-dioxide (CO2) carbonate gas field offshore Sarawak, Malaysia, is scheduled for development. Reservoirs in this region have an average clay content of 8%; more than 50% of this clay content is migratory illite, and 15% is migratory kaolinite. The complete paper presents a numerical work flow to simulate the effect of flow-induced fines migration on production decline over time in deepwater reservoirs. Production and drawdown data from 10 subsea deepwater fractured wells have been modeled with an analytical model for unsteady-state flow with fines migration.