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FaultSeg3D: Fast and accurate 3D fault delineation
Problem statementAccurate 3D mapping of faults from seismic images is essential for seismic structural interpretation, reservoir characterization and well placement. Current methods for fault delineation depend on calculating attributes that estimate seismic reflection continuities and discontinuities. These methods are slow and can take days to process....
Published: 2/1/2021
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Inventor(s): Sergey Fomel, Yunzhi Shi, Xinming Wu
Keywords(s): Artificial intelligence (AI), Drilling, Machine learning, Oil & gas upstream, Petrophysics, Unconventional reservoirs
Category(s): Computer software > Energy software > Oil & gas software
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RAPIDClean: fast, accurate real-time simulations for hole cleaning operations
Problem statementImproper hole cleaning is a major cause of non-productive time (NPT) in drilling. Current hole cleaning practices are mostly based on experience, rules of thumb and simplistic calculations, and do not necessarily work as expected in all scenarios. Available models do not include parameters such as fluid compressibility, pipe rotation...
Published: 1/13/2021
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Inventor(s): Eric van Oort, Amir Hossein Fallah, Qifan Gu, Dongmei Chen, Pradeepkumar Ashok
Keywords(s): Artificial intelligence (AI), Drilling, Oil & gas upstream
Category(s): Physical sciences > Energy > Oil & gas > Upstream oil & gas
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Advanced sensors for RT determination of mud density and flow rate in high-pressure conditions
Problem statementLost circulation can have disastrous consequences including blowout (uncontrolled kicks) and loss of life, so close monitoring to quickly assess and control such events is essential. Market estimates indicate that over $2 billion USD is spent annually to combat and mitigate these events. Real-time measurement of mass flow is critical...
Published: 1/12/2021
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Inventor(s): Eric van Oort, Vivek Singhal, Pradeepkumar Ashok
Keywords(s): Drilling, Fracking, Oil & gas upstream, Sensors
Category(s): Physical sciences > Energy > Oil & gas > Upstream oil & gas
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Automated real-time optimization of formation fluid sampling using artificial intelligence
BackgroundFor capital-intensive exploration and production projects, understanding the chemical and physical properties, phase behavior, compatibility, spatial distribution, and hydraulic connectivity of reservoir fluids is critical for long-term planning and operation. Often, reservoir fluid samples acquired via formation testing represent the only...
Published: 1/11/2021
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Inventor(s): Carlos Torres-Verdin, Colin Schroeder, Camilo Gelvez
Keywords(s): Artificial intelligence (AI), Drilling, Fracking, Oil & gas upstream, Petrophysics, Reservoir mapping
Category(s): Physical sciences > Energy > Oil & gas > Upstream oil & gas
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Simple drill system process for accurate determination of formation properties
Problem statementKnowledge of rock mechanical properties at subsurface conditions is essential to hydrocarbon exploration and production industry. Current methods to obtain this data include seismic amplitude measurements prior to drilling, while-drilling methodologies (LWD and MWD) using drill acoustics and post-drilling methods that use wireline logging...
Published: 12/15/2020
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Inventor(s): Carlos Torres-Verdin, Roman Shor, Eric van Oort
Keywords(s): Drilling, Oil & gas upstream
Category(s): Physical sciences > Energy > Oil & gas > Upstream oil & gas
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Low-cost, energy-efficient heavy oil recovery using a closed-loop well architecture
Problem statementOil production from heavy crude oil and bitumen reserves depends on enhanced thermal and chemical extraction methods like Steam Assisted Gravity Drainage (SAGD), Cyclic Steam Stimulation (CSS), and high-pressure CSS. However, these methods have several known disadvantages. SAGD and CSS consumes much higher levels of water and natural...
Published: 12/9/2020
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Inventor(s): Larry Lake, Babafemi Ogunyomi
Keywords(s): Drilling, Enhanced oil recovery (EOR)
Category(s): Physical sciences > Energy > Oil & gas > Upstream oil & gas
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