Hide metadata

dc.date.accessioned2020-04-30T18:52:13Z
dc.date.available2020-04-30T18:52:13Z
dc.date.created2019-12-09T14:41:11Z
dc.date.issued2019
dc.identifier.citationDin, Crystal Chang Karlsen, Leif Harald Pene, Irina Stahl, Oliver Yu, Ingrid Chieh Østerlie, Thomas . Geological Multi-scenario Reasoning. NIK: Norsk Informatikkonferanse. 2019
dc.identifier.urihttp://hdl.handle.net/10852/74999
dc.description.abstractIn the oil and gas industry, during exploration prospect assessment, explorationists rely on ad hoc manual work practices and tools for developing and communicating multiple hypothetical geological scenarios of the prospect. This leaves them with little efficient means to make the fullest use of state of the art digital technologies to communicate and systematically compare and assess different hypothetical geological scenarios before deciding which scenario to pursue. In this paper we present a formal framework for geological multi-scenario reasoning, a novel tool-based method for geologically oriented subsurface evaluation. The methodology applies formal methods and logic-based techniques to subsurface evaluation and expresses interpretive uncertainty as discrete scenarios with branches of potential alternatives. This framework consists of (i) a proto-scenario generator that takes user observations and geological evidence as input and generates semantically valid initial states based on formalized geological knowledge in first-order logic (ii) geological processes formalized as a rewrite theory that are executable in Maude. By applying geological rewrite rules onto the proto-scenarios, we are able to assist explorationists with multi-scenario generation and reasoning beyond human capacity.en_US
dc.languageEN
dc.publisherBibsys Open Journal Systems
dc.titleGeological Multi-scenario Reasoningen_US
dc.typeJournal articleen_US
dc.creator.authorDin, Crystal Chang
dc.creator.authorKarlsen, Leif Harald
dc.creator.authorPene, Irina
dc.creator.authorStahl, Oliver
dc.creator.authorYu, Ingrid Chieh
dc.creator.authorØsterlie, Thomas
cristin.unitcode185,15,5,80
cristin.unitnameCentre for Scalable Data Access
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1758355
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=NIK: Norsk Informatikkonferanse&rft.volume=&rft.spage=&rft.date=2019
dc.identifier.jtitleNIK: Norsk Informatikkonferanse
dc.identifier.pagecount12
dc.identifier.urnURN:NBN:no-78077
dc.type.documentTidsskriftartikkelen_US
dc.type.peerreviewedPeer reviewed
dc.source.issn1892-0713
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/74999/1/640-Article%2BText-1327-1-10-20191114%2B%25281%2529.pdf
dc.type.versionPublishedVersion
dc.relation.projectNFR/237898


Files in this item

Appears in the following Collection

Hide metadata