Pub Date : 2019-06-03DOI: 10.3997/2214-4609.201900679
J. Gui, J. Gao, K. Chen, S. Li, H. Wang, Q. Chen
Due to the different seismic amplitude information carried by PP-wave and PS-wave, the sensitive of PP-wave and PS-wave to reservoir are different. The joint using of PP-wave and PS-wave information can reduce the multi-solution of reservoir prediction. The construction of conventional elastic parameters is mainly based on PP-wave seismic information. This study investigates elastic parameter construction by using PP-wave and PS-wave elastic impedance jointly. Based on the previous research on PS-wave elastic impedance, a new form of PS-wave elastic impedance equation which can keep consistency with the PP-wave elastic impedance equation is derived. According to the construction formula of conventional elastic parameters, we use PP-wave and new PS-wave elastic impedance instead of P-wave and S-wave impedance to construct a new kind of elastic parameter with the concept of angle elastic parameter. Compared with the conventional elastic parameters, the angle elastic parameters have incidence angle and PS-wave information and can be used as sensitive indicators of reservoir. Both the model and real data show that the angle elastic parameters have high sensitivity to the beneficial reservoir.
{"title":"Joint Using PP-Wave and PS-Wave Elastic Impedance to Construct Reservoir Sensitive Elastic Parameters","authors":"J. Gui, J. Gao, K. Chen, S. Li, H. Wang, Q. Chen","doi":"10.3997/2214-4609.201900679","DOIUrl":"https://doi.org/10.3997/2214-4609.201900679","url":null,"abstract":"Due to the different seismic amplitude information carried by PP-wave and PS-wave, the sensitive of PP-wave and PS-wave to reservoir are different. The joint using of PP-wave and PS-wave information can reduce the multi-solution of reservoir prediction. The construction of conventional elastic parameters is mainly based on PP-wave seismic information. This study investigates elastic parameter construction by using PP-wave and PS-wave elastic impedance jointly. Based on the previous research on PS-wave elastic impedance, a new form of PS-wave elastic impedance equation which can keep consistency with the PP-wave elastic impedance equation is derived. According to the construction formula of conventional elastic parameters, we use PP-wave and new PS-wave elastic impedance instead of P-wave and S-wave impedance to construct a new kind of elastic parameter with the concept of angle elastic parameter. Compared with the conventional elastic parameters, the angle elastic parameters have incidence angle and PS-wave information and can be used as sensitive indicators of reservoir. Both the model and real data show that the angle elastic parameters have high sensitivity to the beneficial reservoir.","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":"90334666","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: 10.3997/2214-4609.201900969
A. Sirtori, M. Mantovani, A. Epifani, F. Miotti
Summary Building a solid starting model remains one of the most challenging tasks for a robust application of full-waveform inversion (FWI). Several aspects can drive the FWI data optimization towards a local minimum of the cost function, such as the lack of low frequency, the offset limitation, and the presence of alternating high-low velocity layering in the stratigraphic sequence. This risk can be mitigated by geophysically preconditioning the FWI starting model, leveraging multiphysics independent measurement through simultaneous joint inversion. In this multiphysics multiscale approach, the seismic information is valuably coupled with non-seismic observations, with the potential benefit of reducing the non-uniqueness of surface geophysics inversions and increasing the robustness and fitness of the input model for FWI.
{"title":"Integrated Simultaneous Joint and Full-Waveform Inversion Workflow for Multiphysics Near-Surface Modeling","authors":"A. Sirtori, M. Mantovani, A. Epifani, F. Miotti","doi":"10.3997/2214-4609.201900969","DOIUrl":"https://doi.org/10.3997/2214-4609.201900969","url":null,"abstract":"Summary Building a solid starting model remains one of the most challenging tasks for a robust application of full-waveform inversion (FWI). Several aspects can drive the FWI data optimization towards a local minimum of the cost function, such as the lack of low frequency, the offset limitation, and the presence of alternating high-low velocity layering in the stratigraphic sequence. This risk can be mitigated by geophysically preconditioning the FWI starting model, leveraging multiphysics independent measurement through simultaneous joint inversion. In this multiphysics multiscale approach, the seismic information is valuably coupled with non-seismic observations, with the potential benefit of reducing the non-uniqueness of surface geophysics inversions and increasing the robustness and fitness of the input model for FWI.","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90358689","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: 10.3997/2214-4609.201901394
H. Lin, S. Li, Y. Li
In seismic exploration, seismic random noise is considered as temporal and spatial random process. Due to the complex environment of desert seismic exploration, the noise shows many different properties, such as: non-Gaussian, weak similarity and low frequency characteristics. Because it is highly unpredictable, it can only be qualitatively analyzed. We improves the Kendall’s rank correlation coefficient combining spatial information to investigate the spatial correlation property of the desert noise. Based on this method, the noise with spatial correlation is statistically calculated. The spatial correlation coefficient of the desert seismic data illustrate that the spatial rank correlation coefficient can reflect the noise spatial structure well and quantify the spatial correlation degree of noise. We find that desert noise has a spatially weak correlation property in which inconsistent noise is the main component. In addition, because there are few surface vegetation in desert areas, wind speed is also an important factor affecting the spatial noise of desert noise. Desert noise shows weaker spatial correlation after wind speed increases.
{"title":"Research on Spatial Rank Correlation Characteristics of Seismic Exploration Noise","authors":"H. Lin, S. Li, Y. Li","doi":"10.3997/2214-4609.201901394","DOIUrl":"https://doi.org/10.3997/2214-4609.201901394","url":null,"abstract":"In seismic exploration, seismic random noise is considered as temporal and spatial random process. Due to the complex environment of desert seismic exploration, the noise shows many different properties, such as: non-Gaussian, weak similarity and low frequency characteristics. Because it is highly unpredictable, it can only be qualitatively analyzed. We improves the Kendall’s rank correlation coefficient combining spatial information to investigate the spatial correlation property of the desert noise. Based on this method, the noise with spatial correlation is statistically calculated. The spatial correlation coefficient of the desert seismic data illustrate that the spatial rank correlation coefficient can reflect the noise spatial structure well and quantify the spatial correlation degree of noise. We find that desert noise has a spatially weak correlation property in which inconsistent noise is the main component. In addition, because there are few surface vegetation in desert areas, wind speed is also an important factor affecting the spatial noise of desert noise. Desert noise shows weaker spatial correlation after wind speed increases.","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":"90465191","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: 10.3997/2214-4609.201900849
Z. Liu, D. Wheaton, V. Tyagi, B. Wang
Summary Mathematical morphological filtering (MMF) is a powerful tool for image processing based on the shape of the structure element (SE). It was introduced into seismic data processing to suppress noise and enhance signal quality. We explain the basic mathematic morphology concepts with set theory and define the basic and advanced morphological operations in seismic data processing. Unlike conventional seismic filtering techniques, MMF is a nonlinear operator so that it can more effectively isolate and attenuate seismic noise based on their shape differences from the signal. We apply different types of morphological filter on field (and various stages of processed) data to demonstrate their effectiveness for suppression of both coherent and incoherent noise and results in an improvement of signal to noise ratio.
{"title":"Mathematical Morphological Filters and Applications in Seismic Data Denoising","authors":"Z. Liu, D. Wheaton, V. Tyagi, B. Wang","doi":"10.3997/2214-4609.201900849","DOIUrl":"https://doi.org/10.3997/2214-4609.201900849","url":null,"abstract":"Summary Mathematical morphological filtering (MMF) is a powerful tool for image processing based on the shape of the structure element (SE). It was introduced into seismic data processing to suppress noise and enhance signal quality. We explain the basic mathematic morphology concepts with set theory and define the basic and advanced morphological operations in seismic data processing. Unlike conventional seismic filtering techniques, MMF is a nonlinear operator so that it can more effectively isolate and attenuate seismic noise based on their shape differences from the signal. We apply different types of morphological filter on field (and various stages of processed) data to demonstrate their effectiveness for suppression of both coherent and incoherent noise and results in an improvement of signal to noise ratio.","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89234872","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: 10.3997/2214-4609.201901228
M. Ishak, D. Verschuur, A. R. Ghazali
{"title":"A Hybrid FWI-JMI for High Resolution Velocity Estimation","authors":"M. Ishak, D. Verschuur, A. R. Ghazali","doi":"10.3997/2214-4609.201901228","DOIUrl":"https://doi.org/10.3997/2214-4609.201901228","url":null,"abstract":"","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73489968","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: 10.3997/2214-4609.201900686
G. Côrte, C. MacBeth, H. Amini
{"title":"North Sea Field Application of 4D Bayesian Inversion to Pressure and Saturation Changes","authors":"G. Côrte, C. MacBeth, H. Amini","doi":"10.3997/2214-4609.201900686","DOIUrl":"https://doi.org/10.3997/2214-4609.201900686","url":null,"abstract":"","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76980989","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: 10.3997/2214-4609.201901631
J. Gomes, S. Geiger, D. Arnold
{"title":"A Hierarchical Carbonate Reservoir Benchmarking Case Study For Reservoir Characterisation, Uncertainty Quantification & History Matching","authors":"J. Gomes, S. Geiger, D. Arnold","doi":"10.3997/2214-4609.201901631","DOIUrl":"https://doi.org/10.3997/2214-4609.201901631","url":null,"abstract":"","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"9 3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78143390","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: 10.3997/2214-4609.201900717
Jiasheng Hao, Samira Mohammadkhani, K. Feilberg, A. Shapiro
{"title":"Smart Waterflooding of Homogeneous and Heterogeneous Cores from Carbonaceous Reservoir","authors":"Jiasheng Hao, Samira Mohammadkhani, K. Feilberg, A. Shapiro","doi":"10.3997/2214-4609.201900717","DOIUrl":"https://doi.org/10.3997/2214-4609.201900717","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":"78563195","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: 10.3997/2214-4609.201901559
T. Alves
During the Late Paleozoic, the Barents Sea was at the edge of the Pangea Supercontinent, recording major climatic and oceanographic changes in the large Panthalassa Ocean (Shulgin et al., 2018). These changes preclude major tectonic events in the Urals and further south, in Central Europe (Faleide et al., 1993; Glorstad‐Clark et al., 2010). This paper focuses on a region located ~150 km to the North of Finnmark, in Northern Norway (Fig. 1). It relates, for the first time, how the geometry and distribution of Carboniferous and Permian mounds relates to vertical movements of the Samson Dome, and adjacent platform areas (Fig. 1a). In essence, this work will demonstrated Samson Dome area presented a much different palaeogeography in the Carboniferous and Permian from the present day, hinting at the presence of sheltered (shallow) platform areas away from the salt structures that are imaged, on seismic data, at present (Figs. 1b and 1c). The identification of such sheltered areas suggests that either: a) older salt structures (pillows, ridges) existed away from the Samson Dome and salt was subsequently withdrawn from below them during the Mesozoic, or b) important vertical movements in the Mesozoic led to the subsidence of Paleozoic carbonate platforms.
晚古生代，巴伦支海处于盘古超大陆的边缘，记录了大泛海海洋的主要气候和海洋学变化(Shulgin et al.， 2018)。这些变化排除了乌拉尔和中欧更南部的主要构造事件(Faleide et al.， 1993;glostad - Clark et al.， 2010)。本文的研究重点是位于挪威北部Finnmark北部约150公里处的一个区域(图1)。本文首次阐述了石炭系和二叠纪土丘的几何形状和分布与Samson Dome及其邻近平台区域的垂直运动之间的关系(图1a)。从本质上讲，这项工作将证明Samson Dome地区在石炭纪和二叠纪时期呈现出与现在截然不同的古地理，暗示在目前地震数据成像的盐构造之外存在遮蔽(浅)台地区域(图1b和1c)。对这些遮蔽区域的识别表明:a)较古老的盐构造(枕状、脊状)在远离参孙丘的地方存在，随后在中生代期间盐从其下方被抽走;b)中生代重要的垂直运动导致古生代碳酸盐岩台地下沉。
{"title":"Paleozoic Carbonates Record the 4D evolution of Salt Domes in the Barents Sea","authors":"T. Alves","doi":"10.3997/2214-4609.201901559","DOIUrl":"https://doi.org/10.3997/2214-4609.201901559","url":null,"abstract":"During the Late Paleozoic, the Barents Sea was at the edge of the Pangea Supercontinent, recording major climatic and oceanographic changes in the large Panthalassa Ocean (Shulgin et al., 2018). These changes preclude major tectonic events in the Urals and further south, in Central Europe (Faleide et al., 1993; Glorstad‐Clark et al., 2010). This paper focuses on a region located ~150 km to the North of Finnmark, in Northern Norway (Fig. 1). It relates, for the first time, how the geometry and distribution of Carboniferous and Permian mounds relates to vertical movements of the Samson Dome, and adjacent platform areas (Fig. 1a). In essence, this work will demonstrated Samson Dome area presented a much different palaeogeography in the Carboniferous and Permian from the present day, hinting at the presence of sheltered (shallow) platform areas away from the salt structures that are imaged, on seismic data, at present (Figs. 1b and 1c). The identification of such sheltered areas suggests that either: a) older salt structures (pillows, ridges) existed away from the Samson Dome and salt was subsequently withdrawn from below them during the Mesozoic, or b) important vertical movements in the Mesozoic led to the subsidence of Paleozoic carbonate platforms.","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"77 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78564912","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: 10.3997/2214-4609.201901650
M. Ahmadi, Z. Chen
{"title":"Development of a Robust Correlation to Determine an Oil Production Rate through Vapor Extraction","authors":"M. Ahmadi, Z. Chen","doi":"10.3997/2214-4609.201901650","DOIUrl":"https://doi.org/10.3997/2214-4609.201901650","url":null,"abstract":"","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75343852","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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