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Petroleum Geostatistics 2019最新文献

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Stochastic Modeling from Ponta Grossa Formation: Integrating Outcropping and Subsurface Data Ponta Grossa地层的随机建模:综合露头和地下数据
Petroleum Geostatistics 2019 Pub Date : 2019-09-02 DOI: 10.3997/2214-4609.201902222
V. Engelke, M. Vargas, A. Silveira, P. D. Carvalho, F. A. Trentin, J. E. Faccion
{"title":"Stochastic Modeling from Ponta Grossa Formation: Integrating Outcropping and Subsurface Data","authors":"V. Engelke, M. Vargas, A. Silveira, P. D. Carvalho, F. A. Trentin, J. E. Faccion","doi":"10.3997/2214-4609.201902222","DOIUrl":"https://doi.org/10.3997/2214-4609.201902222","url":null,"abstract":"Summary Build a geological 3D framework based on the interplay between subsurface-outcrop integration, and data scarcity represents a tough task for geoscientists. In a basin-scale, it is paramount to reduce the quandary related to either limited areas with clusterization or extensive areas with voids by using a pragmatic methodology. This work aims (i) to present an efficient methodology for explorational scale, which correctly represents the geology even with lack of entry-data; (ii) to test the method, by using as a case of study the sediments from Ponta Grossa Fm., Parana Basin; (iii) to validate the method, by using QA, and (iv) to compare with the preconceived analogical interpretation made by several authors. Two stochastic models were generated comparing SIS technique without using a variogram (pure Monte Carlo) with the SIS using the cell size variogram. The simulations had distributed the processed lithofacies, demonstrating the general trend of sand bodies observed in the field. The P50 represented the expected stacking pattern for this sort of high-energy environment. The proposed model had represented the overall stratigraphy. This work represents a partial model that should be compared with forward stratigraphic modeling that utilizes Navier-Stokes set of equations.","PeriodicalId":186806,"journal":{"name":"Petroleum Geostatistics 2019","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124606441","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}
引用次数: 1
Direct Geostatistical Simulation on Unstructured Grids II: A Proposal for Non-additive Variables 非结构网格的直接地质统计模拟II:一个非加性变量的建议
Petroleum Geostatistics 2019 Pub Date : 2019-09-02 DOI: 10.3997/2214-4609.201902232
P. Mourlanette, P. Biver, P. Renard, B. Noetinger
{"title":"Direct Geostatistical Simulation on Unstructured Grids II: A Proposal for Non-additive Variables","authors":"P. Mourlanette, P. Biver, P. Renard, B. Noetinger","doi":"10.3997/2214-4609.201902232","DOIUrl":"https://doi.org/10.3997/2214-4609.201902232","url":null,"abstract":"","PeriodicalId":186806,"journal":{"name":"Petroleum Geostatistics 2019","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127029632","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}
引用次数: 0
Simulation of Near-fault Damage Zones 近断层破坏区的模拟
Petroleum Geostatistics 2019 Pub Date : 2019-09-02 DOI: 10.3997/2214-4609.201902220
V. Lisitsa, V. Tcheverda, D. Kolyukhin, V. Volianskaia
{"title":"Simulation of Near-fault Damage Zones","authors":"V. Lisitsa, V. Tcheverda, D. Kolyukhin, V. Volianskaia","doi":"10.3997/2214-4609.201902220","DOIUrl":"https://doi.org/10.3997/2214-4609.201902220","url":null,"abstract":"","PeriodicalId":186806,"journal":{"name":"Petroleum Geostatistics 2019","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122411938","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}
引用次数: 0
Self-updating Local Distributions in Geostatistical Seismic Inversion 地统计地震反演中的自更新局部分布
Petroleum Geostatistics 2019 Pub Date : 2019-09-02 DOI: 10.3997/2214-4609.201902268
L. Azevedo, J. Narciso, Rúben Nunes, A. Soares
{"title":"Self-updating Local Distributions in Geostatistical Seismic Inversion","authors":"L. Azevedo, J. Narciso, Rúben Nunes, A. Soares","doi":"10.3997/2214-4609.201902268","DOIUrl":"https://doi.org/10.3997/2214-4609.201902268","url":null,"abstract":"","PeriodicalId":186806,"journal":{"name":"Petroleum Geostatistics 2019","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123710880","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}
引用次数: 0
Bayesian Rock Physics Inversion for CO2 Storage Monitoring 二氧化碳储量监测的贝叶斯岩石物理反演
Petroleum Geostatistics 2019 Pub Date : 2019-09-02 DOI: 10.3997/2214-4609.201902269
B. Dupuy, P. Nordmann, A. Romdhane, P. Eliasson
{"title":"Bayesian Rock Physics Inversion for CO2 Storage Monitoring","authors":"B. Dupuy, P. Nordmann, A. Romdhane, P. Eliasson","doi":"10.3997/2214-4609.201902269","DOIUrl":"https://doi.org/10.3997/2214-4609.201902269","url":null,"abstract":"","PeriodicalId":186806,"journal":{"name":"Petroleum Geostatistics 2019","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130933573","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}
引用次数: 2
Extraction of Petrophysical Information and Formation Heterogeneity Estimation from Core Photographs by Clustering Algorithms 基于聚类算法的岩心岩石物理信息提取及地层非均质性估计
Petroleum Geostatistics 2019 Pub Date : 2019-09-02 DOI: 10.3997/2214-4609.201902190
D. Egorov
{"title":"Extraction of Petrophysical Information and Formation Heterogeneity Estimation from Core Photographs by Clustering Algorithms","authors":"D. Egorov","doi":"10.3997/2214-4609.201902190","DOIUrl":"https://doi.org/10.3997/2214-4609.201902190","url":null,"abstract":"Summary Core data is the most reliable and representative source of information, however it is very expensive. It is the only thing that can be used for precise description of geological situation in a target formation including its depositional environment, petrophysical properties and oil saturation distribution, reservoir heterogeneity and compartmentalization degree induced by secondary processes. Despite the fact that core retrieving operation can increase well cost in few times only a little amount of core information is utilized during field development projects as a huge part of it is represented by qualitative description which is hard to be implemented into digital quantitative geological modeling process.","PeriodicalId":186806,"journal":{"name":"Petroleum Geostatistics 2019","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120954815","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}
引用次数: 1
Parametric Covariance Estimation in Ensemble-based Data Assimilation 基于集成的数据同化中的参数协方差估计
Petroleum Geostatistics 2019 Pub Date : 2019-09-02 DOI: 10.3997/2214-4609.201902172
J. Skauvold, J. Eidsvik
{"title":"Parametric Covariance Estimation in Ensemble-based Data Assimilation","authors":"J. Skauvold, J. Eidsvik","doi":"10.3997/2214-4609.201902172","DOIUrl":"https://doi.org/10.3997/2214-4609.201902172","url":null,"abstract":"Summary Ensemble-based data assimilation methods like the ensemble Kalman filter must estimate covariances between state variables and observed variables to update ensemble members. In high-dimensional, geostatistical estimation settings where the system state consists of spatial random fields, spurious entries in estimated covariance matrices can degrade the predictive performance of posterior ensembles. We propose to avoid spurious correlations by specifying a parametric form for the state covariance, and fitting this model to the forecast ensemble. The idea is demonstrated on a partially synthetic North Sea test case involving forward stratigraphic modeling.","PeriodicalId":186806,"journal":{"name":"Petroleum Geostatistics 2019","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127425501","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}
引用次数: 0
Theoretical and Practical Aspects of Stein Variational Gradient Descent with Applications to Data Assimilation Stein变分梯度下降的理论与实践及其在数据同化中的应用
Petroleum Geostatistics 2019 Pub Date : 2019-09-02 DOI: 10.3997/2214-4609.201902206
A. Stordal, R. Moraes, P. Raanes, G. Evensen
{"title":"Theoretical and Practical Aspects of Stein Variational Gradient Descent with Applications to Data Assimilation","authors":"A. Stordal, R. Moraes, P. Raanes, G. Evensen","doi":"10.3997/2214-4609.201902206","DOIUrl":"https://doi.org/10.3997/2214-4609.201902206","url":null,"abstract":"","PeriodicalId":186806,"journal":{"name":"Petroleum Geostatistics 2019","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121307200","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}
引用次数: 0
3D Geological Model: A Geostatistical Approach of Turbidite Deposits, Los Molles Fm, Neuquen Basin, Argentina 三维地质模型:阿根廷Neuquen盆地Los Molles Fm浊积岩矿床的地质统计学方法
Petroleum Geostatistics 2019 Pub Date : 2019-09-02 DOI: 10.3997/2214-4609.201902224
A. Silveira, M. Vargas, V. Engelke, P. Paim, M. Morris, J. E. Faccion
{"title":"3D Geological Model: A Geostatistical Approach of Turbidite Deposits, Los Molles Fm, Neuquen Basin, Argentina","authors":"A. Silveira, M. Vargas, V. Engelke, P. Paim, M. Morris, J. E. Faccion","doi":"10.3997/2214-4609.201902224","DOIUrl":"https://doi.org/10.3997/2214-4609.201902224","url":null,"abstract":"Summary A recurrent challenge of geological modeling is bridging the gap between data with different resolution, such as the outcrop with the exploration resolution. By only integrating outcrop data from Arroyo La Jardineira, Neuquen Basin (AR), we integrated the object-based stochastic simulation for four depositional sequences that register a turbidite succession deposited in a deep-marine setting. This study aims (i) to determine a concise geological model derived from a plethora of simulations; (ii) to validate the uses of object-modeling as a constraint to facies distribution, and (iii) to evaluate the uncertainties when the data is scarce. The 3D numerical model allows the quantification of geological parameters, by testing contrasting geological scenarios. A quantitative sedimentological model was build integrating and using data derived from outcrops. The methodology utilized in this work enhanced the outcropping analysis, being a predictive tool to estimate faciological heterogeneities in subsurface explorational models.","PeriodicalId":186806,"journal":{"name":"Petroleum Geostatistics 2019","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115837736","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}
引用次数: 0
Seismic Estimation of Sub-resolution Reservoir Properties with Bayesian Evidential Learning: Application to an Offshore Delta Case 基于贝叶斯证据学习的亚分辨率储层物性地震估计:在海上三角洲案例中的应用
Petroleum Geostatistics 2019 Pub Date : 2019-09-02 DOI: 10.3997/2214-4609.201902209
A. Pradhan, T. Mukerji
{"title":"Seismic Estimation of Sub-resolution Reservoir Properties with Bayesian Evidential Learning: Application to an Offshore Delta Case","authors":"A. Pradhan, T. Mukerji","doi":"10.3997/2214-4609.201902209","DOIUrl":"https://doi.org/10.3997/2214-4609.201902209","url":null,"abstract":"","PeriodicalId":186806,"journal":{"name":"Petroleum Geostatistics 2019","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126048066","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}
引用次数: 0
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