A stochastic method for automated matching of horizons across a fault in 3D seismic data [Elektronische Ressource] / von Fitsum Admasu

AStochasticMethodforAutomatedMatchingofHorizonsacrossaFaultin3DSeismicDataDissertationzurErlangungdesakademischenGradesDoktoringenieur(Dr. Ing.)angenommendurchdieFakultat¨ fur¨ InformatikderOtto von Guericke Universit at¨ MagdeburgvonM.Sc. FitsumAdmasugeborenam7.Mai1978inDilla.Gutachter: Prof. Dr. KlausTonnies¨Prof. Dr. PeterKuklaProf. Dr. HansduBufOrtundDatumdesPromotionskolloquiums:¨Magdeburg,10. Marz2008.AbstractADMASU,FITSUM.AStochasticMethodforAutomatedMatchingofHorizonsacrossaFaultin3DSeismicData.Seismic data are pictures showing subsurface seismic reflectivity. Seismic data interpretationsconcernwithbuildinggeologicalmodelswiththeaimtodescriberelationshipbetweentheseis mic data and a priori information. The models are used for hydrocarbon explorationorothergeotechnicalinvestigations.This thesis work is motivated by a demand of computer assisted interpretation of seismic data.Manual interpretations take too long and are almost always non unique. The computer assistedinterpretationhasadvantagesinthatitprovidesafasterinterpretationframeworkandaconsistentworkflow.Thisthesisfocusesonautomatinghorizonmatchingacrossafaultsurface. Horizonsarevisibleboundaries between certain sediment layers in seismic data. Faults are discontinuity surfacesacrosswhichhorizonsarecutanddisplaced. Automationtools,suchasauto trackers,arewidelybeing used to assist horizon interpretation. However, they fall short of tracking horizons acrossfaults.