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... reservoir characterization log analysis artificial intelligence drilling operation concentration carbonate reservoir core analysis complex reservoir pore structure machine learning well logging workflow distribution data carbonate formation spwla 63 image array rd annual logging...

... reservoir characterization production control machine learning drilling data acquisition log analysis neural network artificial intelligence borehole imaging wellbore seismic production monitoring reservoir surveillance deep learning real time system drilling measurement well...

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... Fault Complex to the east (Fig. 1). The prospect discovered in 2016, consisted of gas with an oil leg. drilling measurement reservoir geomechanics reservoir characterization wellbore integrity lwd annular pressure drilling log analysis drilling fluids and materials wellbore design shale...

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... research interests include petrophysics, borehole geophysics, rock physics, inverse problems, completion petrophysics, and reservoir characterization of unconventional and carbonate reservoirs. Lucas Abreu Blanes de Oliveira is a Senior Petrophysicist for Petrobras in Rio de Janeiro, Brazil. He received...

... reservoir characterization well logging drilling data acquisition log analysis drilling measurement logging while drilling structural geology logging symposium inversion lwd upstream oil & gas spwla 63 resistivity em inversion clegg well path university reservoir simulation...

... technology portfolio. He has worked across bp s portfolio in seismic reservoir characterization, and is currently part of the digital core analysis team. Glen holds a PhD in geophysics from the New Mexico Institute of Mining and Technology, US. Dave Saucier is a geologist and core specialist with bp s global...

... reservoir characterization log analysis enhanced recovery reservoir geomechanics zonal isolation intervención de pozos petroleros well logging downhole intervention formation testing drilling fluids and materials well intervention production enhancement well integrity flow back...

... in development of mature fields using waterfloods. drilling fluid chemistry drilling fluid selection and formulation machine learning drilling fluids and materials reservoir characterization artificial intelligence fluid loss control drilling fluid formulation well logging neural network...

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... understanding of the reservoir. reservoir characterization drilling data acquisition drilling fluids and materials production control log analysis drilling equipment production monitoring reservoir surveillance drilling measurement well logging wellbore seismic while-drilling tool integrate...

... three algorithms worsens, with results from the artificial neural network model being the most impacted and most variable. Results from the random forest algorithm were the least impacted and remained the most stable under decreasing training dataset size. reservoir characterization artificial...

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