Pub Date : 2023-10-01DOI: 10.3997/1365-2397.fb2023080
Guilherme Vasquez, Marcio Morschbacher, Julio Justen, Elita de Abreu
Summary The Brazilian pre-salt comprises giant oil fields with high productivity carbonate reservoirs. Petroelastic modelling is an important tool for seismic interpretation. It uses rock physics models to estimate the elastic properties from petrophysical and compositional information and may be applied to forecast reservoir elastic behaviour from conceptual geological models as well as to estimate petrophysical properties from seismic elastic inversion results. We discuss the application of three rock physics models to pre-salt rocks from the Santos Basin: Stiff sand model (SSM), Vernik-Kachanov model (VKM) and Differential Effective Media (DEM). The results show that these three models perform very well in predicting reservoir elastic properties. We believe that the choice of a particular model can be based on the available parameters and on the desired application.
{"title":"Petroelastic Models for Santos Basin Pre-Salt Carbonates","authors":"Guilherme Vasquez, Marcio Morschbacher, Julio Justen, Elita de Abreu","doi":"10.3997/1365-2397.fb2023080","DOIUrl":"https://doi.org/10.3997/1365-2397.fb2023080","url":null,"abstract":"Summary The Brazilian pre-salt comprises giant oil fields with high productivity carbonate reservoirs. Petroelastic modelling is an important tool for seismic interpretation. It uses rock physics models to estimate the elastic properties from petrophysical and compositional information and may be applied to forecast reservoir elastic behaviour from conceptual geological models as well as to estimate petrophysical properties from seismic elastic inversion results. We discuss the application of three rock physics models to pre-salt rocks from the Santos Basin: Stiff sand model (SSM), Vernik-Kachanov model (VKM) and Differential Effective Media (DEM). The results show that these three models perform very well in predicting reservoir elastic properties. We believe that the choice of a particular model can be based on the available parameters and on the desired application.","PeriodicalId":35692,"journal":{"name":"First Break","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134976775","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 : 2023-10-01DOI: 10.3997/1365-2397.fb2023087
Vetle Vinje, Marit Stokke Bauck, Hao Jiang, Carsten Scholl, Stephen Edwards, Sarah Hill, Federico Buriola, Richard Wombell
Preview this article: Using Seismic and CSEM Imaging to Improve Geological Understanding of Mineralisation Along Mohns Ridge, Page 1 of 1 < Previous page | Next page > /docserver/preview/fulltext/fb/41/10/fb2023087-1.gif
{"title":"Using Seismic and CSEM Imaging to Improve Geological Understanding of Mineralisation Along Mohns Ridge","authors":"Vetle Vinje, Marit Stokke Bauck, Hao Jiang, Carsten Scholl, Stephen Edwards, Sarah Hill, Federico Buriola, Richard Wombell","doi":"10.3997/1365-2397.fb2023087","DOIUrl":"https://doi.org/10.3997/1365-2397.fb2023087","url":null,"abstract":"Preview this article: Using Seismic and CSEM Imaging to Improve Geological Understanding of Mineralisation Along Mohns Ridge, Page 1 of 1 < Previous page | Next page > /docserver/preview/fulltext/fb/41/10/fb2023087-1.gif","PeriodicalId":35692,"journal":{"name":"First Break","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134976774","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 : 2023-10-01DOI: 10.3997/1365-2397.fb2023081
Joss Smith, Ashley Uren, Joe Jennings, Thomas Butt, Craig Lang
Identifying and screening subsurface carbon storage options requires knowledge of numerous elements that can be costly and time consuming to assess at the regional scale. To remediate this, we use Neftex® Predictions which has automated the process of screening its global geological content so that carbon storage fairway extents and storage resources can be readily assessed and compared. This frees the geoscientist from the burden of time-consuming data cleaning and geoprocessing workflows. Attributes that indicate suitability of the storage option are based on a bespoke Carbon Storage Adequacy Index, developed to assess the reservoir, seal and operational factors. This automated workflow enables rapid portfolio generation and comparison, with high ranked fairways being prioritised for further investigation. Once prioritised, areas within fairways that have the greatest storage potential are useful to identify, here termed ‘sweet spots’. An example of how to do this by creating distribution maps of volumetric Prospective Storage Resource is presented. This shows how the Neftex Predictions datasets, alongside third-party data, can enhance screening map generation, especially when inferring beyond available data control. Examples from the North Sea, the Mediterranean, and the Gulf of Mexico demonstrate the global applicability of the workflows.
{"title":"Adapting Hydrocarbon Workflows to Enable Efficient and Rapid Screening for CO2 Storage Potential","authors":"Joss Smith, Ashley Uren, Joe Jennings, Thomas Butt, Craig Lang","doi":"10.3997/1365-2397.fb2023081","DOIUrl":"https://doi.org/10.3997/1365-2397.fb2023081","url":null,"abstract":"Identifying and screening subsurface carbon storage options requires knowledge of numerous elements that can be costly and time consuming to assess at the regional scale. To remediate this, we use Neftex® Predictions which has automated the process of screening its global geological content so that carbon storage fairway extents and storage resources can be readily assessed and compared. This frees the geoscientist from the burden of time-consuming data cleaning and geoprocessing workflows. Attributes that indicate suitability of the storage option are based on a bespoke Carbon Storage Adequacy Index, developed to assess the reservoir, seal and operational factors. This automated workflow enables rapid portfolio generation and comparison, with high ranked fairways being prioritised for further investigation. Once prioritised, areas within fairways that have the greatest storage potential are useful to identify, here termed ‘sweet spots’. An example of how to do this by creating distribution maps of volumetric Prospective Storage Resource is presented. This shows how the Neftex Predictions datasets, alongside third-party data, can enhance screening map generation, especially when inferring beyond available data control. Examples from the North Sea, the Mediterranean, and the Gulf of Mexico demonstrate the global applicability of the workflows.","PeriodicalId":35692,"journal":{"name":"First Break","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134977213","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 : 2023-10-01DOI: 10.3997/1365-2397.fb2023084
Altay Sansal, Ben Lasscock, Alejandro Valenciano
MDIO offers a technical solution for storing and retrieving energy data in the cloud and on-premises. As an open-source framework, it incorporates high-resolution, multi-dimensional arrays that accurately represent wind resources and seismic data for multiple applications. By utilising the Zarr format, MDIO ensures efficient chunked storage and parallel I/O operations, facilitating easy data interaction in diverse infrastructures. This paper covers MDIO’s application in renewable energy (wind simulations), predictive analytics, and seismic imaging and interpretation, aiming to provide a robust technical platform for researchers navigating the evolving energy landscape.
{"title":"Integrating Energy Datasets: the MDIO Format","authors":"Altay Sansal, Ben Lasscock, Alejandro Valenciano","doi":"10.3997/1365-2397.fb2023084","DOIUrl":"https://doi.org/10.3997/1365-2397.fb2023084","url":null,"abstract":"MDIO offers a technical solution for storing and retrieving energy data in the cloud and on-premises. As an open-source framework, it incorporates high-resolution, multi-dimensional arrays that accurately represent wind resources and seismic data for multiple applications. By utilising the Zarr format, MDIO ensures efficient chunked storage and parallel I/O operations, facilitating easy data interaction in diverse infrastructures. This paper covers MDIO’s application in renewable energy (wind simulations), predictive analytics, and seismic imaging and interpretation, aiming to provide a robust technical platform for researchers navigating the evolving energy landscape.","PeriodicalId":35692,"journal":{"name":"First Break","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134977214","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 : 2023-09-01DOI: 10.3997/1365-2397.fb2023073
Bill Shea, Jorg Herwanger, Peter Harris
{"title":"Accelerating Insights from 4D Seismic Data with New Multi-Dimensional Data Structures","authors":"Bill Shea, Jorg Herwanger, Peter Harris","doi":"10.3997/1365-2397.fb2023073","DOIUrl":"https://doi.org/10.3997/1365-2397.fb2023073","url":null,"abstract":"","PeriodicalId":35692,"journal":{"name":"First Break","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48809051","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 : 2023-09-01DOI: 10.3997/1365-2397.fb2023077
K. Maver, O. Vestavik, Jørgen Peter Rasmussen, Carl-Emil Larsen
{"title":"Closed-Loop Single Well Geothermal Solution","authors":"K. Maver, O. Vestavik, Jørgen Peter Rasmussen, Carl-Emil Larsen","doi":"10.3997/1365-2397.fb2023077","DOIUrl":"https://doi.org/10.3997/1365-2397.fb2023077","url":null,"abstract":"","PeriodicalId":35692,"journal":{"name":"First Break","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49113307","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 : 2023-09-01DOI: 10.3997/1365-2397.fb2023076
David Went, Richard Hedley, Jon Rogers
{"title":"Screening for AVA Anomalies in Siliciclastic Basins: Testing a Seismic Inversion Method in the Mississippi Canyon, Gulf of Mexico","authors":"David Went, Richard Hedley, Jon Rogers","doi":"10.3997/1365-2397.fb2023076","DOIUrl":"https://doi.org/10.3997/1365-2397.fb2023076","url":null,"abstract":"","PeriodicalId":35692,"journal":{"name":"First Break","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47347348","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 : 2023-09-01DOI: 10.3997/1365-2397.fb2023069
Yang Xue, D. Clarke, Kanglin Wang
{"title":"Multi-Scenario Deep Learning 4D Inversion: a Brazil Pre-Salt Case Study","authors":"Yang Xue, D. Clarke, Kanglin Wang","doi":"10.3997/1365-2397.fb2023069","DOIUrl":"https://doi.org/10.3997/1365-2397.fb2023069","url":null,"abstract":"","PeriodicalId":35692,"journal":{"name":"First Break","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70168526","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 : 2023-09-01DOI: 10.3997/1365-2397.fb2023075
Øystein Haugen Solbu, Asgeir Nyvoll, H. Alnes, Siri Catherine Vassvåg, M. Lien, Hugo Ruiz
{"title":"Time-Lapse Gravity and Subsidence Applied in History Matching of a Gas-Condensate Field","authors":"Øystein Haugen Solbu, Asgeir Nyvoll, H. Alnes, Siri Catherine Vassvåg, M. Lien, Hugo Ruiz","doi":"10.3997/1365-2397.fb2023075","DOIUrl":"https://doi.org/10.3997/1365-2397.fb2023075","url":null,"abstract":"","PeriodicalId":35692,"journal":{"name":"First Break","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42354123","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 : 2023-09-01DOI: 10.3997/1365-2397.fb2023072
Sebastien Strebelle, Martha Stunell
{"title":"Optimising Reservoir Development and Asset Value Using Unified Ensemble Modelling","authors":"Sebastien Strebelle, Martha Stunell","doi":"10.3997/1365-2397.fb2023072","DOIUrl":"https://doi.org/10.3997/1365-2397.fb2023072","url":null,"abstract":"","PeriodicalId":35692,"journal":{"name":"First Break","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46561302","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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