Pub Date : 2019-06-03DOI: 10.3997/2214-4609.201900697
N. Kazemi, D. Trad, K. Innanen, R. Shor
Least-squares migration can, in theory, reduce the acquisition footprint and improve the illumination of the subsurface structures. However, in complex subsurface structures, rays or the wave energy will penetrate poorly in some regions, e.g., subsalt region, and that region will be a shadow zone to a typical surface seismic acquisition. The shadow zone is in the null space of the migration operator and the subsurface information in that region will not be recovered even by posing imaging as an inverse problem. To rectify this, we use another set of data, along with surface seismic dataset, whose ray paths are different from the surface seismic. Seismic-while-drilling (SWD) dataset are complementary to surface data, and it brings an opportunity to address seismic illumination issue by adding new measurements into the imaging problem. Accordingly, in this research, we formulate the joint least-squares reverse time migration of surface seismic and SWD datasets and explore its potential in imaging the parts of the model that is in the shadow zone of the surface seismic acquisition. Presented results on the BP-Model94 show that the joint least-squares migration outperforms the single surface and single SWD least-squares migrations in improving the illumination of subsurface structures.
{"title":"Joint Least-Squares RTM of Surface Seismic and Seismic-While-Drilling Datasets","authors":"N. Kazemi, D. Trad, K. Innanen, R. Shor","doi":"10.3997/2214-4609.201900697","DOIUrl":"https://doi.org/10.3997/2214-4609.201900697","url":null,"abstract":"Least-squares migration can, in theory, reduce the acquisition footprint and improve the illumination of the subsurface structures. However, in complex subsurface structures, rays or the wave energy will penetrate poorly in some regions, e.g., subsalt region, and that region will be a shadow zone to a typical surface seismic acquisition. The shadow zone is in the null space of the migration operator and the subsurface information in that region will not be recovered even by posing imaging as an inverse problem. To rectify this, we use another set of data, along with surface seismic dataset, whose ray paths are different from the surface seismic. Seismic-while-drilling (SWD) dataset are complementary to surface data, and it brings an opportunity to address seismic illumination issue by adding new measurements into the imaging problem. Accordingly, in this research, we formulate the joint least-squares reverse time migration of surface seismic and SWD datasets and explore its potential in imaging the parts of the model that is in the shadow zone of the surface seismic acquisition. Presented results on the BP-Model94 show that the joint least-squares migration outperforms the single surface and single SWD least-squares migrations in improving the illumination of subsurface structures.","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"137 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76283583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-03DOI: 10.3997/2214-4609.201900709
E. Suter, T. Kårstad, A. Escalona, H. A. Friis, E. H. Vefring
{"title":"Principles for a Hierarchical Earth Model Representation Aiming Towards Fit-For-Purpose Grid Resolution","authors":"E. Suter, T. Kårstad, A. Escalona, H. A. Friis, E. H. Vefring","doi":"10.3997/2214-4609.201900709","DOIUrl":"https://doi.org/10.3997/2214-4609.201900709","url":null,"abstract":"","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82993218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-03DOI: 10.3997/2214-4609.201901017
Y. Wang, J. Wang, X. Wang, W. Sun, J. Zhang
{"title":"Deghosting Method of Variable-Depth Streamer Seismic Data Based on the Iterative Inversion of Wave Equation","authors":"Y. Wang, J. Wang, X. Wang, W. Sun, J. Zhang","doi":"10.3997/2214-4609.201901017","DOIUrl":"https://doi.org/10.3997/2214-4609.201901017","url":null,"abstract":"","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82044664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-03DOI: 10.3997/2214-4609.201901148
V. Das, T. Mukerji
{"title":"Traditional Feature Based vs Direct Machine Learning Based AVO Classification","authors":"V. Das, T. Mukerji","doi":"10.3997/2214-4609.201901148","DOIUrl":"https://doi.org/10.3997/2214-4609.201901148","url":null,"abstract":"","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"104 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85508107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-03DOI: 10.3997/2214-4609.201900872
G. Chen, R. Wu, S. Chen
{"title":"Salt Structure Velocity Model Building Based on Signed Multi-Scale Direct Envelope Inversion","authors":"G. Chen, R. Wu, S. Chen","doi":"10.3997/2214-4609.201900872","DOIUrl":"https://doi.org/10.3997/2214-4609.201900872","url":null,"abstract":"","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78540950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-03DOI: 10.3997/2214-4609.201901093
Oleg Ishkov, O. Vazquez, E. Mackay
{"title":"Coupling a Cloud-Based Reservoir Simulator and Near Wellbore Modelling Software for Inorganic Scale Risk Management","authors":"Oleg Ishkov, O. Vazquez, E. Mackay","doi":"10.3997/2214-4609.201901093","DOIUrl":"https://doi.org/10.3997/2214-4609.201901093","url":null,"abstract":"","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"124 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77455289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-03DOI: 10.3997/2214-4609.201901551
M. Al-Awadhi, N. Hawie, M. Hafez, R. Rajagopal, S. Yelamanchi, M. Al-Abdullah, H. D. Almeida
The main objectives of this work are to provide a new assessment of structural and stratigraphic trapping mechanisms of the Lower Jurassic Marrat Formation onshore Kuwait through integrated G&G workflows supported by seismic characterization. A unique 3D seismic survey was recently acquired in the western Kuwaiti sector known as “Khabrat Ali”. This acquisition is aimed at opening new exploration frontiers in a sector with very limited data. Results of this study provide significant insights into the potential development of the reservoir facies in the Lower Jurassic Marrat carbonate ramp system. Those results highlight an important change in the perception related to west Kuwait which was once thought to be deposited in a lagoonal system with little explorational potential. For the first time three main lead areas presenting good reservoir characteristics have been identified. Two comprising stratigraphic trapping potential, localized in the westernmost (extensive shoal geobody) and eastern “Khabrat Ali” (restricted shoals or associated reworked deposits). Finally, combined structural-stratigraphic traps are also observed along two major structures localized in the central part of “Khabrat Ali”. Those results provide major constraints for future stratigraphic and basin models expected to be conducted soon.
{"title":"Unravelling New Exploration Frontiers for the Lower Jurassic of Kuwait","authors":"M. Al-Awadhi, N. Hawie, M. Hafez, R. Rajagopal, S. Yelamanchi, M. Al-Abdullah, H. D. Almeida","doi":"10.3997/2214-4609.201901551","DOIUrl":"https://doi.org/10.3997/2214-4609.201901551","url":null,"abstract":"The main objectives of this work are to provide a new assessment of structural and stratigraphic trapping mechanisms of the Lower Jurassic Marrat Formation onshore Kuwait through integrated G&G workflows supported by seismic characterization. A unique 3D seismic survey was recently acquired in the western Kuwaiti sector known as “Khabrat Ali”. This acquisition is aimed at opening new exploration frontiers in a sector with very limited data. Results of this study provide significant insights into the potential development of the reservoir facies in the Lower Jurassic Marrat carbonate ramp system. Those results highlight an important change in the perception related to west Kuwait which was once thought to be deposited in a lagoonal system with little explorational potential. For the first time three main lead areas presenting good reservoir characteristics have been identified. Two comprising stratigraphic trapping potential, localized in the westernmost (extensive shoal geobody) and eastern “Khabrat Ali” (restricted shoals or associated reworked deposits). Finally, combined structural-stratigraphic traps are also observed along two major structures localized in the central part of “Khabrat Ali”. Those results provide major constraints for future stratigraphic and basin models expected to be conducted soon.","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77880107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-03DOI: 10.3997/2214-4609.201901120
T. Kettlety, J. Verdon, M. Werner, J. Kendall
{"title":"Investigating Injection Induced Fault Activation Through Geomechanical Stability Analysis","authors":"T. Kettlety, J. Verdon, M. Werner, J. Kendall","doi":"10.3997/2214-4609.201901120","DOIUrl":"https://doi.org/10.3997/2214-4609.201901120","url":null,"abstract":"","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79856575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-03DOI: 10.3997/2214-4609.201900713
R. Moghadasi, M. Motie
{"title":"New Aspects of Rock Typing","authors":"R. Moghadasi, M. Motie","doi":"10.3997/2214-4609.201900713","DOIUrl":"https://doi.org/10.3997/2214-4609.201900713","url":null,"abstract":"","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81358091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-03DOI: 10.3997/2214-4609.201900712
F. Piriac, P. Biver, S. Halfaoui
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).
{"title":"Integrating Seismic Inversion in Static Uncertainties","authors":"F. Piriac, P. Biver, S. Halfaoui","doi":"10.3997/2214-4609.201900712","DOIUrl":"https://doi.org/10.3997/2214-4609.201900712","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":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78791235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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