Directional/complex wells
This paper discusses the development of a multientry, multistage fracturing system and its advantages over traditional openhole multistage fracturing solutions.
This paper proposes a methodology for preventing drillstring fatigue and failure in deep wells with large shallow doglegs.
In this paper, the authors propose a regression machine-learning model to predict stick/slip severity index using sequences of surface measurements.
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This paper presents a physics-based approach to predict sand production for various reservoir and completion types, explored through a case study of recent production wells in a sandstone reservoir development. -
This paper discusses novel acoustic techniques used to identify productive zones and areas of sand production in a well with a sanding event.
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ADNOC awarded a new round of contracts to international service companies, intending to apply directional drilling and LWD to boost production by getting a better assessment of its reservoirs.
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An automated detection application helped identify stringers early for an operator of a mature field in the North Sea while drilling multilateral wells through reservoir sections containing hard calcite stringers interspersed in sand formations with low unconfined compressive strength. The application guided drilling decisions that minimized invisible lost time and sh…
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The drilling of wells in shale and granite shares a common need—faster drilling is required to make it work.
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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.
