Matches in SemOpenAlex for { <https://semopenalex.org/work/W3202741570> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W3202741570 abstract "Abstract The availability of 3D seismic data undoubtedly plays an important role in reservoir characterization. Currently seismic technology continues to advance at a rapid pace not only in the acquisition but also in processing and interpretation domain. The advance on this is well supported by the digitalization era which urges everything to run reliably fast, effective and efficient. Thanks to continuous development of IT peripherals we now have luxury to process and handle big data through the application of machine learning. Some debates on the effectiveness and threats that this process may automating certain task and later will decrease human workforce are still going on in many forums but still like it or not this machine learning is already embraced in almost every aspect of our life including in oil & gas industry. Carbonate reservoir on the other hand has been long known for its uniqueness compared to siliciclastic reservoir. The term heterogeneous properties are quite common for carbonate due to its complex multi-story depositional and diagenetic facies. In this paper, we bring up our case where we try to unravel carbonate heterogeneity from a massive tight gas reservoir through our machine learning application using the workflow of supervised and unsupervised neural network. In this study, we incorporate 3D PSTM seismic data and its stratigraphic interpretation coupled with the core study result, BHI (borehole image) log interpretation, and our regional understanding of the area to develop a meaningful carbonate facies model through seismic neural network exercises. As the result, we successfully derive geological consistent carbonate facies classification and distribution honoring all the supporting data above though the limitation of well penetration in the area. This result then proved to be beneficial to build integrated 3D geomodel which later can explain the issue on different gas compositions happens in the area. The result on unsupervised neural network also able to serves as a quick look for further sweetspot analysis to support full-field development." @default.
- W3202741570 created "2021-10-11" @default.
- W3202741570 creator A5006585056 @default.
- W3202741570 creator A5012346089 @default.
- W3202741570 creator A5036213055 @default.
- W3202741570 creator A5041072093 @default.
- W3202741570 creator A5061518149 @default.
- W3202741570 creator A5061577046 @default.
- W3202741570 date "2021-10-04" @default.
- W3202741570 modified "2023-10-08" @default.
- W3202741570 title "Unravel Carbonate Reservoir Heterogeneities Through 3D Seismic Neural Network Application: A Machine Learning Based Approach and Workflow" @default.
- W3202741570 cites W1533729466 @default.
- W3202741570 cites W1973456741 @default.
- W3202741570 cites W2004408118 @default.
- W3202741570 cites W2029837300 @default.
- W3202741570 cites W2116794641 @default.
- W3202741570 cites W2131622490 @default.
- W3202741570 cites W2136166259 @default.
- W3202741570 cites W2275841169 @default.
- W3202741570 cites W2889211000 @default.
- W3202741570 cites W3084225545 @default.
- W3202741570 cites W3163440091 @default.
- W3202741570 doi "https://doi.org/10.2118/205664-ms" @default.
- W3202741570 hasPublicationYear "2021" @default.
- W3202741570 type Work @default.
- W3202741570 sameAs 3202741570 @default.
- W3202741570 citedByCount "0" @default.
- W3202741570 crossrefType "proceedings-article" @default.
- W3202741570 hasAuthorship W3202741570A5006585056 @default.
- W3202741570 hasAuthorship W3202741570A5012346089 @default.
- W3202741570 hasAuthorship W3202741570A5036213055 @default.
- W3202741570 hasAuthorship W3202741570A5041072093 @default.
- W3202741570 hasAuthorship W3202741570A5061518149 @default.
- W3202741570 hasAuthorship W3202741570A5061577046 @default.
- W3202741570 hasConcept C109007969 @default.
- W3202741570 hasConcept C119857082 @default.
- W3202741570 hasConcept C126753816 @default.
- W3202741570 hasConcept C127313418 @default.
- W3202741570 hasConcept C14641988 @default.
- W3202741570 hasConcept C146588470 @default.
- W3202741570 hasConcept C149137386 @default.
- W3202741570 hasConcept C151730666 @default.
- W3202741570 hasConcept C154945302 @default.
- W3202741570 hasConcept C161028810 @default.
- W3202741570 hasConcept C177212765 @default.
- W3202741570 hasConcept C191897082 @default.
- W3202741570 hasConcept C192562407 @default.
- W3202741570 hasConcept C2780659211 @default.
- W3202741570 hasConcept C2993313656 @default.
- W3202741570 hasConcept C41008148 @default.
- W3202741570 hasConcept C50644808 @default.
- W3202741570 hasConcept C77088390 @default.
- W3202741570 hasConcept C77928131 @default.
- W3202741570 hasConcept C78762247 @default.
- W3202741570 hasConceptScore W3202741570C109007969 @default.
- W3202741570 hasConceptScore W3202741570C119857082 @default.
- W3202741570 hasConceptScore W3202741570C126753816 @default.
- W3202741570 hasConceptScore W3202741570C127313418 @default.
- W3202741570 hasConceptScore W3202741570C14641988 @default.
- W3202741570 hasConceptScore W3202741570C146588470 @default.
- W3202741570 hasConceptScore W3202741570C149137386 @default.
- W3202741570 hasConceptScore W3202741570C151730666 @default.
- W3202741570 hasConceptScore W3202741570C154945302 @default.
- W3202741570 hasConceptScore W3202741570C161028810 @default.
- W3202741570 hasConceptScore W3202741570C177212765 @default.
- W3202741570 hasConceptScore W3202741570C191897082 @default.
- W3202741570 hasConceptScore W3202741570C192562407 @default.
- W3202741570 hasConceptScore W3202741570C2780659211 @default.
- W3202741570 hasConceptScore W3202741570C2993313656 @default.
- W3202741570 hasConceptScore W3202741570C41008148 @default.
- W3202741570 hasConceptScore W3202741570C50644808 @default.
- W3202741570 hasConceptScore W3202741570C77088390 @default.
- W3202741570 hasConceptScore W3202741570C77928131 @default.
- W3202741570 hasConceptScore W3202741570C78762247 @default.
- W3202741570 hasLocation W32027415701 @default.
- W3202741570 hasOpenAccess W3202741570 @default.
- W3202741570 hasPrimaryLocation W32027415701 @default.
- W3202741570 hasRelatedWork W11765363 @default.
- W3202741570 hasRelatedWork W12277440 @default.
- W3202741570 hasRelatedWork W5672138 @default.
- W3202741570 hasRelatedWork W5732301 @default.
- W3202741570 hasRelatedWork W6680660 @default.
- W3202741570 hasRelatedWork W7339520 @default.
- W3202741570 hasRelatedWork W7415350 @default.
- W3202741570 hasRelatedWork W8076620 @default.
- W3202741570 hasRelatedWork W8595301 @default.
- W3202741570 hasRelatedWork W9565160 @default.
- W3202741570 isParatext "false" @default.
- W3202741570 isRetracted "false" @default.
- W3202741570 magId "3202741570" @default.
- W3202741570 workType "article" @default.