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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198026-MS
.... well logging relation core permeability flow zone indicator log analysis classification cored depth drt dimensionless group rock type artificial intelligence cross plot log measurement coefficient lucia machine learning carbonate rock society of petroleum engineers equation upstream...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-197997-MS
... conduct exercises with estimates of work force for a range of potential business scenarios. machine learning bitumen enhanced recovery complex reservoir artificial intelligence upstream oil & gas production operation optimization competency technical competency oil sand asset and...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198022-MS
... low salinity ester layer contribution artificial intelligence swctt post high salinity post low salinity acceptable case npa interpretation post polymer machine learning coefficient optimization problem volume-weighted sorw chemical tracer inc concentration salinity back-produced...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198013-MS
... in Subba oilfield and can be applied to roughly estimate the ΔFOE during the miscible CO 2 -WAG process at the same geological conditions as Nahr Umr reservoir. enhanced recovery upstream oil & gas simulation model machine learning modeling & simulation heterogeneous clastic...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198018-MS
... also a precursor to a full-scale machine learning process that could be implemented for automatically updating models when the quantity of data is expected to be massive in the coming years. machine learning ace mlr regression upstream oil & gas correlation variance optimal...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198074-MS
... . Such derivations are usually based on porosity and resistivity logs, hence underutilizing the possible contribution of other conventional logs. They are also based on the assumption that the relationship between the logs and m is linear. Other methods, including those based on machine learning, have...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198130-MS
... predicted TOC are 0.89 and 0.94, respectively. shale gas conventional well log artificial intelligence upstream oil & gas machine learning complex reservoir training dataset correlation coefficient toc value anfis-sc model total organic carbon deep resistivity testing data...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198054-MS
... intelligence midstream oil & gas gas supply consumption saudi arabia deficit global lng price trend machine learning upstream oil & gas electricity generation energy mix mena region mena country The MENA area has been lagging in switching to natural gas consumption despite the huge...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198143-MS
... provide accurate water cut estimates below MPMFs threshold and reliable post water breakthrough analysis. production control flow metering holistic approach exhibition reservoir surveillance breakthrough oil production machine learning artificial intelligence straight-line trend early...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198084-MS
... better production forecasting and optimization as well as enhance future life of field planning. artificial intelligence cement gamma ray machine learning jal az zor formation facies upstream oil & gas variation reservoir quality reservoir characterization heavy oil field north...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198158-MS
... completion operation machine learning isolation acid stimulation sleeve artificial intelligence concentration kuwait bahrah field north kuwait operator horizontal well packer upstream oil & gas stimulation design mauddud formation unconventional horizontal well reservoir society of...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198122-MS
... well well performance drilling operation dimensionless ipr curve permeability anisotropy fracture fracture conductivity horizontal well fractured horizontal gas well machine learning conductivity directional drilling gas production rate reservoir inflow performance relationship ipr curve...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198055-MS
... technology solution wrfm machine learning annular pressure drilling production operation contribution knowledge management drillstem testing key technology completion strategic planning and management artificial intelligence drillstem/well testing subsurface challenge opportunity well...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198123-MS
... (versus mature assets), and not all the data required is available yet. The study started with formatting, processing and integrating all the available field data into a data management tool. Integrated visualizations were tested to detect early trends of sand and water production. Machine Learning...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 13–16, 2019
Paper Number: SPE-198149-MS
... geological model can be captured. The Big loop workflow gives a geologically consistent history matched model without any local modification in the geological model through the use of machine learning approach and proxy model built by the tool. The model can later be extended to prediction times to capture...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 15–18, 2017
Paper Number: SPE-187539-MS
... three reservoirs was 7.4%. enhanced recovery machine learning miscible method Artificial Intelligence calculation correlation Stalkup Model empirical equation fraction chemical flooding methods Upstream Oil & Gas co 2 application recovery factor injection empirical correlation...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 15–18, 2017
Paper Number: SPE-187540-MS
... calculations, which showed a good match with the model results. Hence, a new well was drilled targeting the low quality sand and found them with high pressure almost near virgin pressure. machine learning Reservoir Characterization Upstream Oil & Gas information Artificial Intelligence...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 15–18, 2017
Paper Number: SPE-187654-MS
... stress levels of annular sealants is also presented, along with its economic benefits. This allows for the optimal design of dependable sealants for long-term integrity during the planning stage. Artificial Intelligence foam cement machine learning cement chemistry cement cement formulation...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 15–18, 2017
Paper Number: SPE-187676-MS
... reservoir by the application of memory concept. log analysis Upstream Oil & Gas Artificial Intelligence memory mechanism Exhibition fluid property Engineering correlation porosity Hossain well logging Fluid Dynamics caputo prediction fluid flow machine learning flow in porous media...
Proceedings Papers

Paper presented at the SPE Kuwait Oil & Gas Show and Conference, October 15–18, 2017
Paper Number: SPE-187678-MS
... shorter-spacing detectors, more sensitive to the borehole environment, to correct the apparent sigma measured in the late gate in the far detector, more sensitive to the formation. The formation sigma is also corrected for thermal neutron diffusion. machine learning Upstream Oil & Gas well...

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