Directional/complex wells
Improved bit and bottomhole-assembly technologies and designs have helped turn what used to be record-breaking drilling runs into routine expectations.
This paper provides an account of the design, implementation, and operational insights from an enhanced geothermal system proppant stimulation targeting a volcanic, dry rock setting with an approximately 330°C bottomhole temperature.
This study evaluates the feasibility of drilling a closed-loop, unconventional geothermal system in the Pannonian Basin basement of Romania.
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This paper highlights the potential of machine learning to be used as a tool in assisting the drilling engineer in bit selection through data insights previously overlooked. -
A leaner and wiser Weatherford seeks new Middle East contracts while growing margins and market share on existing business.
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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.
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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.
