{"title":"静态不确定性下的地震反演积分","authors":"F. Piriac, P. Biver, S. Halfaoui","doi":"10.3997/2214-4609.201900712","DOIUrl":null,"url":null,"abstract":"Summary Resources estimation has always been the main challenge for the oil and gas industry. The uncertainties accounting for this estimation are split into Structural, Static and Dynamic uncertainties and each component can have a major impact on the final resources estimation. This paper is dealing with the static uncertainties component coming from seismic inversion and proposes a workflow to derive stochastic multi-realizations from deterministic inversion results through geostatistical simulations. In order to validate the approach, the described methodology is first compared to a stochastic seismic inversion of elastic properties performed on a real data set (turbiditic deep offshore, Australia). Then a generalization of the workflow is proposed for litho-seismic attribute in order to constrain the geomodel in-filling. The obtained results show that deterministic inversion results could be integrated in a global uncertainty workflow and thus contribute to the range of the stock-tank original oil in place volume (STOOIP).","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"19 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Integrating Seismic Inversion in Static Uncertainties\",\"authors\":\"F. Piriac, P. Biver, S. Halfaoui\",\"doi\":\"10.3997/2214-4609.201900712\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary Resources estimation has always been the main challenge for the oil and gas industry. The uncertainties accounting for this estimation are split into Structural, Static and Dynamic uncertainties and each component can have a major impact on the final resources estimation. This paper is dealing with the static uncertainties component coming from seismic inversion and proposes a workflow to derive stochastic multi-realizations from deterministic inversion results through geostatistical simulations. In order to validate the approach, the described methodology is first compared to a stochastic seismic inversion of elastic properties performed on a real data set (turbiditic deep offshore, Australia). Then a generalization of the workflow is proposed for litho-seismic attribute in order to constrain the geomodel in-filling. The obtained results show that deterministic inversion results could be integrated in a global uncertainty workflow and thus contribute to the range of the stock-tank original oil in place volume (STOOIP).\",\"PeriodicalId\":6840,\"journal\":{\"name\":\"81st EAGE Conference and Exhibition 2019\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"81st EAGE Conference and Exhibition 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3997/2214-4609.201900712\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"81st EAGE Conference and Exhibition 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.201900712","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integrating Seismic Inversion in Static Uncertainties
Summary Resources estimation has always been the main challenge for the oil and gas industry. The uncertainties accounting for this estimation are split into Structural, Static and Dynamic uncertainties and each component can have a major impact on the final resources estimation. This paper is dealing with the static uncertainties component coming from seismic inversion and proposes a workflow to derive stochastic multi-realizations from deterministic inversion results through geostatistical simulations. In order to validate the approach, the described methodology is first compared to a stochastic seismic inversion of elastic properties performed on a real data set (turbiditic deep offshore, Australia). Then a generalization of the workflow is proposed for litho-seismic attribute in order to constrain the geomodel in-filling. The obtained results show that deterministic inversion results could be integrated in a global uncertainty workflow and thus contribute to the range of the stock-tank original oil in place volume (STOOIP).