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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference, October 21–22, 2020
Paper Number: SPE-202506-MS
... satbayev university career preparedness presentation interview machine learning upstream oil & gas nontechnical skill student kazakhstan petroleum engineering seminar class cover letter seminar class The evaluation system for hiring has now become much more comprehensive...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference, October 21–22, 2020
Paper Number: SPE-202525-MS
... assessment strategic planning and management risk management ogunlana international journal questionnaire construction project contingency cost objective price fluctuation machine learning asset and portfolio management category contractor project team delivery delay respondent cost overrun...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference, October 21–22, 2020
Paper Number: SPE-202544-MS
... employing data science can aid in identifying parameter patterns as an alternative to minifrac testing. A novel machine learning algorithm was applied to an existing database to streamline the redesign process from a multistep to a single-step one in conventional reservoirs. A regression software package...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference, October 21–22, 2020
Paper Number: SPE-202517-MS
... limitations and technological uncertainties. reservoir characterization geologic modeling well logging production control reservoir surveillance machine learning log analysis geological modeling production monitoring artificial intelligence drillstem testing reservoir simulation upstream oil...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference, October 21–22, 2020
Paper Number: SPE-202577-MS
... in one study, but also deducts lessons from the real field applications that will shed light on the utilization of the methods in the future applications. This study will close the gap and become a reference study in unconventional oil industry. energy economics enhanced recovery machine learning...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference, October 21–22, 2020
Paper Number: SPE-202507-MS
.... In situations where a reliable numerical model or reservoir simulator is not accessible, machine learning methods can offer an alternative approach for forecasting the performance in a practical manner. When the dataset used for training is generated from numerical simulation runs, machine learning model serves...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference, October 21–22, 2020
Paper Number: SPE-202546-MS
... relevant. To solve this problem, the most modern technologies are involved, including machine learning algorithms. The main difficulties encountered when using these technologies are the requirements for artificial neural networks for the minimum necessary number of complications or their representable set...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference, October 16–18, 2019
Paper Number: SPE-198378-MS
.... This technique proves to safely deliver the first Stimulation Vessel in Caspian Sea. strategic planning and management downhole intervention platform pipeline Artificial Intelligence Upstream Oil & Gas stimulation project management production enhancement modification machine learning Well...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference, October 16–18, 2019
Paper Number: SPE-198338-MS
... Abstract This paper presents the implementation and value of Data Driven Machine Learning methods and Physics driven Concepts for real-time well performance estimation in Kashagan Field. The models are expected to be used to detect fluid properties changes, restrictions in the well tubing...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference, October 16–18, 2019
Paper Number: SPE-198358-MS
... to optimize technological processes and prevent accidents. Contemporary Big Data technologies, predictive analysis and machine-learning methods are changing the general image of many industries, and the oil and gas industry is no exception. New players are quickly emerging throughout the industry...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference, October 16–18, 2019
Paper Number: SPE-198377-MS
... drilling Upstream Oil & Gas antonsen machine learning log analysis LWD trajectory drilling measurement inversion Reservoir Characterization perturbation well logging Directional Drilling model update functionality service company pre-job phase udar inversion interpretation Artificial...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference, October 16–18, 2019
Paper Number: SPE-198374-MS
... technical measure non-recoverable reserve machine learning flow in porous media Fluid Dynamics coefficient complexity sweep efficiency unit fraction algorithm development system permeability heterogeneity injection well recovery factor optimization The reason for the high value...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference, October 16–18, 2019
Paper Number: SPE-198411-MS
.... Under the conditions of rapidly developing IT sphere, the use of machine learning methods is a relevant and a promising direction. However, most of the emerging engineering challenges cannot be solved efficiently by using either only machine learning algorithms or only physical and mathematical models...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference, October 16–18, 2019
Paper Number: SPE-198396-MS
... data operation drilling operation Efficiency ovchinnikov application proppant machine learning marker-based system In today's conditions of active development of drilling technologies, well completion and production intensification, there is a trend towards the growth of the length...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference, October 16–18, 2019
Paper Number: SPE-198410-MS
... The core of ES is a data base, which consist of available, unstructured information about investigated object and machine learning algorithms, which helps to process this information and produce useful knowledge. The goal of ES is to competently combine information of the different scales...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference and Exhibition, October 31–November 2, 2018
Paper Number: SPE-192573-MS
.... machine learning log analysis drilling data acquisition well logging drilling measurement Artificial Intelligence logging while drilling accuracy database inversion tool signal neural network receiver kHz deep azimuthal resistivity tool real time system drilling Upstream Oil & Gas...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference and Exhibition, October 31–November 2, 2018
Paper Number: SPE-192571-MS
... to deliver results for the project. Figure 6 Tool Positions Used in the Experimental Work machine learning well logging log analysis neural network Baker Hughes borehole fluid mud weight Artificial Intelligence Upstream Oil & Gas sensitivity estimation sacrificial fluid neural...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference and Exhibition, October 31–November 2, 2018
Paper Number: SPE-192544-MS
... and design used a data-driven and action-based methodology. First, by the integration of disparate data, analysis on verification and then trend analysis to do a higher level of analytics. Machine learning techniques have been researched that when deployed will provide further enhancement to Caspian...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference and Exhibition, November 1–3, 2017
Paper Number: SPE-189013-MS
... Artificial Intelligence absolute permeability evolutionary algorithm Fluid Dynamics machine learning Upstream Oil & Gas tight formation consideration displacement pressure gradient flow in porous media network model pore network flow model boundary layer thickness pore scale...
Proceedings Papers

Paper presented at the SPE Annual Caspian Technical Conference and Exhibition, November 1–3, 2017
Paper Number: SPE-189021-MS
... approach used for evaluation and planning of the Statfjord Late Life (SFLL) with reservoir depressurization, share learnings from depressurization start-up and address challenges, uncertainties and opportunities. machine learning Upstream Oil & Gas Artificial Intelligence gas production...

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