Directional/complex wells
Sponsored
Altitude Energy Partners optimized drilling efficiency by minimizing dysfunctions and protecting downhole components. Their directional drilling team ensured consistent curves and laterals through precise BHA design, modeling, and trajectory control—reducing nonproductive time and drilling costs, and achieving a 100% improvement in efficiency by pad completion.
Extended-reach drilling (ERD) and complex wells have emerged as pivotal techniques, enabling access to previously unreachable reserves. ERD allows operators to access oil and gas reservoirs far from the drilling site, minimizing the environmental footprint and optimizing resource recovery.
This paper highlights nontraditional methods to cure oil-based-mud losses in horizontal wells drilled in unconventional plays.
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The drilling of wells in shale and granite shares a common need—faster drilling is required to make it work. -
The paper describes the experience of using a machine-learning model prepared by the ensemble method to prevent stuck-pipe events during well construction in extended-reach wells.
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Artificial intelligence and machine learning, which can effectively mine deep insight from a large amount of drilling operational data and synthetic forward modeling data, are starting to shape the design and operations of extended-reach and complex wells.
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This paper describes a successful U-turn trajectory test in South Texas that has created new economic project opportunities for the company and increased optionality within challenged lease spaces across the field.
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Capitalizing on technology that originated with NASA delivers savings on directional drilling operations.
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This paper presents a screenout-classification system based on Gaussian hidden Markov models that predicts screenouts and provides early warning.
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The paper highlights two case studies to illustrate successful development of marginal prospects to unlock remaining potential.
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This paper describes a study aiming to provide input for the well-completion-strategy design and operational parameters for a carbonate reservoir experiencing electrical-submersible-pump failures.
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This paper details new technologies and work flows implemented for Australian offshore wells to improve drilling efficiency while managing associated risks.
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The paper demonstrates the application of an interpretable machine-learning work flow using surface drilling data to identify fracable, brittle, and productive rock intervals along horizontal laterals in the Marcellus shale.
