Pub Date : 2018-06-11DOI: 10.3997/2214-4609.201801655
D. Kula, M. Lehujeur, Jérôme Vergne, J. Schmittbuhl, D. Zigone
{"title":"Steps toward Monitoring a Deep Geothermal Reservoir in Northern Alsace with Ambient Seismic Noise Interferometry","authors":"D. Kula, M. Lehujeur, Jérôme Vergne, J. Schmittbuhl, D. Zigone","doi":"10.3997/2214-4609.201801655","DOIUrl":"https://doi.org/10.3997/2214-4609.201801655","url":null,"abstract":"","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134236695","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 : 2018-06-11DOI: 10.3997/2214-4609.201801530
I. Abakumov, B. Kashtan, D. Gajewski
Data quality is extremely important for successful time-lapse experiments. Time-lapse seismic requires estimation of 4D changes that are often smaller than the noise level. Hence, data processing and noise suppression are the key steps for time-lapse analysis. We propose a method for noise suppression and regularization of prestack data. The method is based on the local stack of spatially coherent events along the traveltime surfaces defined by the common-offset common-reflection-surface traveltime operator. Since the data are stacked locally, we don't harm amplitudes and phases of the signal. The coefficients in the traveltime approximation have a definite physical meaning which allows us to enhance particular types of waves. By the example of cross-well dataset we demonstrate, that the proposed method efficiently suppresses random noise, enhances the desired signals and increases the repeatability of the data. The overall benefit is a more reliable estimation of time-lapse changes, providing a more reliable information for enhanced oil recovery or other applications. The proposed stacking technique is not limited to cross-well observation geometries and can be extended to 2D/3D OBN and VSP datasets.
{"title":"Time-lapse Data Enhancement and Regularization with Common-offset CRS Stack","authors":"I. Abakumov, B. Kashtan, D. Gajewski","doi":"10.3997/2214-4609.201801530","DOIUrl":"https://doi.org/10.3997/2214-4609.201801530","url":null,"abstract":"Data quality is extremely important for successful time-lapse experiments. Time-lapse seismic requires estimation of 4D changes that are often smaller than the noise level. Hence, data processing and noise suppression are the key steps for time-lapse analysis. We propose a method for noise suppression and regularization of prestack data. The method is based on the local stack of spatially coherent events along the traveltime surfaces defined by the common-offset common-reflection-surface traveltime operator. Since the data are stacked locally, we don't harm amplitudes and phases of the signal. The coefficients in the traveltime approximation have a definite physical meaning which allows us to enhance particular types of waves. By the example of cross-well dataset we demonstrate, that the proposed method efficiently suppresses random noise, enhances the desired signals and increases the repeatability of the data. The overall benefit is a more reliable estimation of time-lapse changes, providing a more reliable information for enhanced oil recovery or other applications. The proposed stacking technique is not limited to cross-well observation geometries and can be extended to 2D/3D OBN and VSP datasets.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134525027","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 : 2018-06-11DOI: 10.3997/2214-4609.201800955
I. Cho, E. Kim, D. Jeong, Y. Kim, K. Kim, H. Yong
{"title":"4D ERT Inversion Incorporating the Temperature Effects at Embankment Dams","authors":"I. Cho, E. Kim, D. Jeong, Y. Kim, K. Kim, H. Yong","doi":"10.3997/2214-4609.201800955","DOIUrl":"https://doi.org/10.3997/2214-4609.201800955","url":null,"abstract":"","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133895974","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 : 2018-06-11DOI: 10.3997/2214-4609.201801151
M. Watkinson, M. Enfield, C. Tucker
Summary We present a new analysis of the Rio del Rey sub-basin of Niger Delta (offshore Cameroon), where analysis of legacy seismic and well data has been integrated using a play based exploration approach to evaluate the remaining potential in the basin. We focus on the Thali block, which has an exploration history extending back to the 1970’s with three discoveries in shallow prospects. However, poor understanding of reservoir, charge and cross-fault seal has resulted in unpredicted results and no field development to date. We demonstrate how improved understanding of the complex interrelationship between evolving deep-water gravitational structures and stratigraphy, incorporating newly reprocessed seismic, has been applied to produce a new development plan for the Thali block and expose significant new exploration potential in deeper plays, which are prolific elsewhere in the region.
我们对尼日尔三角洲(喀麦隆近海)的Rio del Rey子盆地进行了新的分析，利用基于油气藏的勘探方法，对遗留地震和井数据进行了综合分析，以评估该盆地的剩余潜力。我们的重点是Thali区块，该区块的勘探历史可以追溯到20世纪70年代，在浅层勘探中有三个发现。然而，由于对储层、充注物和断层间封闭性的不了解，导致了无法预测的结果，迄今为止尚无油田开发。我们展示了如何更好地理解深水重力构造与地层之间复杂的相互关系，并结合最新的再处理地震，为Thali区块制定了新的开发计划，并揭示了该地区其他地方丰富的深层油气藏的重大新勘探潜力。
{"title":"Structural & Stratigraphic Evolution of the Rio Del Rey Basin (Cameroon) - Field Development & New Exploration Potential","authors":"M. Watkinson, M. Enfield, C. Tucker","doi":"10.3997/2214-4609.201801151","DOIUrl":"https://doi.org/10.3997/2214-4609.201801151","url":null,"abstract":"Summary We present a new analysis of the Rio del Rey sub-basin of Niger Delta (offshore Cameroon), where analysis of legacy seismic and well data has been integrated using a play based exploration approach to evaluate the remaining potential in the basin. We focus on the Thali block, which has an exploration history extending back to the 1970’s with three discoveries in shallow prospects. However, poor understanding of reservoir, charge and cross-fault seal has resulted in unpredicted results and no field development to date. We demonstrate how improved understanding of the complex interrelationship between evolving deep-water gravitational structures and stratigraphy, incorporating newly reprocessed seismic, has been applied to produce a new development plan for the Thali block and expose significant new exploration potential in deeper plays, which are prolific elsewhere in the region.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134166599","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 : 2018-06-11DOI: 10.3997/2214-4609.201801273
Z. Han, N. Guo, X. Liang, S. Kong
{"title":"The Method and Application of Structural Recovery Underlying Igneous Rock","authors":"Z. Han, N. Guo, X. Liang, S. Kong","doi":"10.3997/2214-4609.201801273","DOIUrl":"https://doi.org/10.3997/2214-4609.201801273","url":null,"abstract":"","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134181173","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 : 2018-06-11DOI: 10.3997/2214-4609.201801161
B. Bellwald, S. Planke, S. Polteau, N. Lebedeva-Ivanova, A. Hafeez, J. Faleide, R. Myklebust
Summary Glacial landforms identified in seismic 3D and multibeam data of the Barents Sea have improved the knowledge about past glaciations and associated geohazards. High-resolution P-Cable 3D seismic data were acquired in this area with an inline separation of 6 m, a source frequency range of 5–350 Hz and an source-receiver offset range of 120–160 m. Seabed images derived from the P-Cable data show an increased resolution and sharpness compared to images from conventional 3D seismic and multibeam echosounder data. High-resolution images of the buried Upper Regional Unconformity (URU) were derived from the P-Cable data, revealing previously unrecognized structures such as hill-hole pairs and rhombohedral and transverse ridges. These observations indicate different subglacial thermal regimes, the presence of permafrost, and a strong link with variations in the underlying geology. No reflections are imaged within the intraglacial sediment package in the conventional seismic data. However, reflections interpreted as the top of a shear margin moraine, shear planes, mass transport deposits, and soft beds are visible in the P-Cable data. Meter-scale glacial landforms and layers identified in the P-Cable cubes comprise new information about glacier dynamics, fluid flow, and faults, which are valuable for geotechnical and geohazard evaluations of offshore infrastructure.
{"title":"Detailed Structure of Buried Glacial Landforms Revealed by High-resolution 3D Seismic Data in the SW Barents Sea","authors":"B. Bellwald, S. Planke, S. Polteau, N. Lebedeva-Ivanova, A. Hafeez, J. Faleide, R. Myklebust","doi":"10.3997/2214-4609.201801161","DOIUrl":"https://doi.org/10.3997/2214-4609.201801161","url":null,"abstract":"Summary Glacial landforms identified in seismic 3D and multibeam data of the Barents Sea have improved the knowledge about past glaciations and associated geohazards. High-resolution P-Cable 3D seismic data were acquired in this area with an inline separation of 6 m, a source frequency range of 5–350 Hz and an source-receiver offset range of 120–160 m. Seabed images derived from the P-Cable data show an increased resolution and sharpness compared to images from conventional 3D seismic and multibeam echosounder data. High-resolution images of the buried Upper Regional Unconformity (URU) were derived from the P-Cable data, revealing previously unrecognized structures such as hill-hole pairs and rhombohedral and transverse ridges. These observations indicate different subglacial thermal regimes, the presence of permafrost, and a strong link with variations in the underlying geology. No reflections are imaged within the intraglacial sediment package in the conventional seismic data. However, reflections interpreted as the top of a shear margin moraine, shear planes, mass transport deposits, and soft beds are visible in the P-Cable data. Meter-scale glacial landforms and layers identified in the P-Cable cubes comprise new information about glacier dynamics, fluid flow, and faults, which are valuable for geotechnical and geohazard evaluations of offshore infrastructure.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134361557","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 : 2018-06-11DOI: 10.3997/2214-4609.201801137
R. Lander, L. Bonnell
Summary Sandstone reservoir quality prediction has moved from a reliance on simple empirical trends (e.g., porosity vs. depth) to include process-oriented forward models. Process-oriented models are more accurate than empirical trends because they simulate compaction and the kinetics geochemical reactions while accounting for composition, texture, and burial history. Additionally, they incorporate models of other rock properties such as permeability and seismic velocities. Although process-oriented models have had considerable success, they do not depict the geometry of sandstones at the pore and grain scale. “Digital sedimentary petrology” models, now under development, consider the 3D geometrical evolution of solids and pores in response to composition, texture, and burial history. These models simulate diagenetic processes with greater rigor compared to existing process-oriented models and provide input for “digital rock physics” simulations that until now have relied upon scanned physical samples. The hope is that coupling these simulation methods will make it possible to accurately predict properties of interest in geomechanics, structural deformation, seismic interpretation, petrophysical analysis, and reservoir simulation for areas away from well control.
{"title":"Rock Property Prediction Using Process-Oriented Models and Digital Sedimentary Petrology Models","authors":"R. Lander, L. Bonnell","doi":"10.3997/2214-4609.201801137","DOIUrl":"https://doi.org/10.3997/2214-4609.201801137","url":null,"abstract":"Summary Sandstone reservoir quality prediction has moved from a reliance on simple empirical trends (e.g., porosity vs. depth) to include process-oriented forward models. Process-oriented models are more accurate than empirical trends because they simulate compaction and the kinetics geochemical reactions while accounting for composition, texture, and burial history. Additionally, they incorporate models of other rock properties such as permeability and seismic velocities. Although process-oriented models have had considerable success, they do not depict the geometry of sandstones at the pore and grain scale. “Digital sedimentary petrology” models, now under development, consider the 3D geometrical evolution of solids and pores in response to composition, texture, and burial history. These models simulate diagenetic processes with greater rigor compared to existing process-oriented models and provide input for “digital rock physics” simulations that until now have relied upon scanned physical samples. The hope is that coupling these simulation methods will make it possible to accurately predict properties of interest in geomechanics, structural deformation, seismic interpretation, petrophysical analysis, and reservoir simulation for areas away from well control.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131615871","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 : 2018-06-11DOI: 10.3997/2214-4609.201801023
M. Pervukhina, P. Rasolofosaon, V. Mikhaltsevitch
{"title":"Influence of Silt and Organic Matter Contents on Elastic Properties of Shaly Formations","authors":"M. Pervukhina, P. Rasolofosaon, V. Mikhaltsevitch","doi":"10.3997/2214-4609.201801023","DOIUrl":"https://doi.org/10.3997/2214-4609.201801023","url":null,"abstract":"","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127594562","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 : 2018-06-11DOI: 10.3997/2214-4609.201801230
Ajinkya Kadu, Rajiv Kumar
With the advent of efficient seismic data acquisition, we are having a surplus of seismic data, which is improving the imaging of the earth using full-waveform inversion. However, such inversion suffers from many issues, including (i) substantial network waiting time due to repeated communications of function and gradient values in the distributed environment, and (ii) requirement of the sophisticated optimizer to solve an optimization problem involving non-smooth regularizers. To circumvent these issues, we propose a decentralized full-waveform inversion, a scheme where connected agents in a network optimize their objectives locally while being in consensus. The proposed formulation can be solved using the ADMM method efficiently. We demonstrate using the standard Marmousi model that such scheme can decouple the regularization from data fitting and reduce the network waiting time.
{"title":"Decentralized Full-Waveform Inversion","authors":"Ajinkya Kadu, Rajiv Kumar","doi":"10.3997/2214-4609.201801230","DOIUrl":"https://doi.org/10.3997/2214-4609.201801230","url":null,"abstract":"With the advent of efficient seismic data acquisition, we are having a surplus of seismic data, which is improving the imaging of the earth using full-waveform inversion. However, such inversion suffers from many issues, including (i) substantial network waiting time due to repeated communications of function and gradient values in the distributed environment, and (ii) requirement of the sophisticated optimizer to solve an optimization problem involving non-smooth regularizers. To circumvent these issues, we propose a decentralized full-waveform inversion, a scheme where connected agents in a network optimize their objectives locally while being in consensus. The proposed formulation can be solved using the ADMM method efficiently. We demonstrate using the standard Marmousi model that such scheme can decouple the regularization from data fitting and reduce the network waiting time.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132798732","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 : 2018-06-11DOI: 10.3997/2214-4609.201801085
J. Ahokas, A. Hartwig, Ø. Kjøsnes, P. E. Øverli, S. Vassmyr, J. Skeie, J. Rinna, J. Kristensen
In-depth risk mitigation and integration of different datasets is an essential task to identify, validate and rank Paleozoic prospects in the Norwegian Barents Sea Shelf (NBSS). The only significant discoveries have been made in the Upper Permian carbonate play on the Loppa High area, whereas the more immature lowermost Permian carbonate play may trap significant volumes of hydrocarbons. During 2018, three new wells are planned to drill into the Lower Permian strata in the Barents Sea. Aker BP operates one, and participates in another of these. Aker BP have allocated significant effort and resources to enhance in-house understanding and to mitigate Paleozoic play risks in the NBSS. De-risking workflow can be split into three main parts; 1) Collection and detailed analysis of analogous field data from Svalbard archipelago to quantify and predict type of hydrocarbon source rocks present in similar depositional setting as interpreted from seismic data 2) Utilizing different seismic data imaging techniques to enhance seismic imaging and facies and lithology prediction of prospective reservoir levels 3) Incorporating all available data in Petroleum Systems Modelling (PSM) to assess the petroleum charge and preservation risk The resulting enhanced understanding of subsurface have facilitated positive drill decisions outside the present discoveries.
{"title":"Paleozoic Carbonate Play in the Norwegian Barents Sea Shelf","authors":"J. Ahokas, A. Hartwig, Ø. Kjøsnes, P. E. Øverli, S. Vassmyr, J. Skeie, J. Rinna, J. Kristensen","doi":"10.3997/2214-4609.201801085","DOIUrl":"https://doi.org/10.3997/2214-4609.201801085","url":null,"abstract":"In-depth risk mitigation and integration of different datasets is an essential task to identify, validate and rank Paleozoic prospects in the Norwegian Barents Sea Shelf (NBSS). The only significant discoveries have been made in the Upper Permian carbonate play on the Loppa High area, whereas the more immature lowermost Permian carbonate play may trap significant volumes of hydrocarbons. During 2018, three new wells are planned to drill into the Lower Permian strata in the Barents Sea. Aker BP operates one, and participates in another of these. Aker BP have allocated significant effort and resources to enhance in-house understanding and to mitigate Paleozoic play risks in the NBSS. De-risking workflow can be split into three main parts; 1) Collection and detailed analysis of analogous field data from Svalbard archipelago to quantify and predict type of hydrocarbon source rocks present in similar depositional setting as interpreted from seismic data 2) Utilizing different seismic data imaging techniques to enhance seismic imaging and facies and lithology prediction of prospective reservoir levels 3) Incorporating all available data in Petroleum Systems Modelling (PSM) to assess the petroleum charge and preservation risk The resulting enhanced understanding of subsurface have facilitated positive drill decisions outside the present discoveries.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130823332","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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