EAGE 2020 Annual Conference & Exhibition Online最新文献

筛选
英文 中文
Delineating Geothermal Structure from 3D Joint Inversion of MT and Gravity Data 利用大地电磁法和重力资料三维联合反演圈定地热构造
EAGE 2020 Annual Conference & Exhibition Online Pub Date : 2020-12-08 DOI: 10.3997/2214-4609.202011689
W. Soyer, R. Mackie, S. Hallinan, F. Miorelli, A. Pavesi
{"title":"Delineating Geothermal Structure from 3D Joint Inversion of MT and Gravity Data","authors":"W. Soyer, R. Mackie, S. Hallinan, F. Miorelli, A. Pavesi","doi":"10.3997/2214-4609.202011689","DOIUrl":"https://doi.org/10.3997/2214-4609.202011689","url":null,"abstract":"Summary We have implemented 3D faults as discontinuity surfaces, of finite extent, in the regularization step of our non-linear inversion engine (RLM-3D), for both single domain and cross-gradient joint inversion cases, and applied this for geothermal magnetotellurics (MT) and gravity inversion models: firstly for a synthetic graben case, and then on data from Sorik Marapi, a geothermal field located on the Great Sumatran Fault. Through integrated, quantitative modeling of multiple geophysical data types over geothermal fields, now including faults as sharp discontinuities, we facilitate geologically and structurally reliable multi-property 3D earth models that consistently explain the observations of available geophysical datasets.","PeriodicalId":354849,"journal":{"name":"EAGE 2020 Annual Conference & Exhibition Online","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124322637","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
Single Loop Litho-Petro-Elastic Modelling and Inversion: An Example of Prospect Characterization in the Norwegian Sea 单回线岩石-石油-弹性建模与反演:以挪威海勘探区描述为例
EAGE 2020 Annual Conference & Exhibition Online Pub Date : 2020-12-08 DOI: 10.3997/2214-4609.202011879
J. Siupik, A. Murineddu, C. Leone, E.K.S. Austrheim
{"title":"Single Loop Litho-Petro-Elastic Modelling and Inversion: An Example of Prospect Characterization in the Norwegian Sea","authors":"J. Siupik, A. Murineddu, C. Leone, E.K.S. Austrheim","doi":"10.3997/2214-4609.202011879","DOIUrl":"https://doi.org/10.3997/2214-4609.202011879","url":null,"abstract":"Summary A single-loop litho-petro-elastic seismic characterization workflow is described. The foundation of the approach lies on deterministic and stochastic rock physics modelling. Solving jointly for lithofacies and elastic properties overcomes the traditional limitation of conventional seismic inversion workflows, represented by the difficulty of building accurate 3D prior models. With the litho-petro-elastic AVA inversion, the low-frequency model is not explicitly defined, but compaction trends are used instead to derive the missing low frequencies in a data-driven fashion. The workflow also extends to the estimation of petrophysical properties, once again inferred by stochastic perturbation of the rock model and maximization of the a posteriori probability of the petrophysical outputs given the measured seismic attributes.","PeriodicalId":354849,"journal":{"name":"EAGE 2020 Annual Conference & Exhibition Online","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116457457","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
Processing and imaging of a multi-petabyte OBN survey in the North Sea 北海多pb OBN测量的处理和成像
EAGE 2020 Annual Conference & Exhibition Online Pub Date : 2020-12-08 DOI: 10.3997/2214-4609.202010604
T. Rayment, G. Hampson, L. Letki
{"title":"Processing and imaging of a multi-petabyte OBN survey in the North Sea","authors":"T. Rayment, G. Hampson, L. Letki","doi":"10.3997/2214-4609.202010604","DOIUrl":"https://doi.org/10.3997/2214-4609.202010604","url":null,"abstract":"Summary The Utsira ocean-bottom node (OBN) survey was acquired during 2018/19 covering 1510 km2 over the Utsira high, which is ~90 nautical miles west of Stavanger. As it was acquired using several asynchronous triple-source vessels, deblending was an essential step to recover signal at target depths. Deblending also removed very strong nearby seismic interference, by using the interfering survey’s shot times, with as many as 14 active sources firing. Up-down deconvolution is a key step to address the challenges observed in the area as it achieves both free-surface multiple elimination and 3D signature deconvolution. A similar approach was developed to tackle the same issues for the down-going wavefield resulting in a more effective and efficient processing flow for imaging shallow targets than conventional techniques. The long offsets and rich azimuthal sampling of the wavefield meant FWI could solve model building and imaging challenges over a range of depths. Such challenges included shallow channels and deeper cemented sand injectites. This survey illustrates how advances in acquisition and processing technologies enable large-scale, high-density OBN surveys to be acquired and processed in accelerated time frames leading to new insights even in relatively well-explored areas.","PeriodicalId":354849,"journal":{"name":"EAGE 2020 Annual Conference & Exhibition Online","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123562584","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
Comparison of Formulations for Representing the Fluid-Solid Coupling Using the Spectral Element Method 用谱元法表示流固耦合公式的比较
EAGE 2020 Annual Conference & Exhibition Online Pub Date : 2020-12-08 DOI: 10.3997/2214-4609.202011336
J. Cao, R. Brossier, L. Métivier
{"title":"Comparison of Formulations for Representing the Fluid-Solid Coupling Using the Spectral Element Method","authors":"J. Cao, R. Brossier, L. Métivier","doi":"10.3997/2214-4609.202011336","DOIUrl":"https://doi.org/10.3997/2214-4609.202011336","url":null,"abstract":"Summary We consider modeling seismic wave propagation in fluid-solid coupled media, in the perspective of seismic exploration in marine environments. The spectral element method is used for the spatial discretization due to its high accuracy in relatively smooth media and high computational efficiency through a domain-decomposition based parallelization. During the implementation, fluid and solid domains are divided explicitly and handled with the acoustic-wave and elastic-wave equation, respectively. The mutual interaction between these two wave equations is modeled by coupling conditions at the fluid-solid interface. The weak forms of 4 existing coupling formulations in terms of pressure, velocity potential, displacement potential and displacement are constructed respectively. Several benchmark tests are carried out to analyze their pros and cons in the spectral element method, from the aspects of complexity, accuracy and computational efficiency.","PeriodicalId":354849,"journal":{"name":"EAGE 2020 Annual Conference & Exhibition Online","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130008584","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
A Novel and Fast Simulation Strategy and Response Characteristics of Array Dielectric Dispersion Tool 一种新型的阵列介质色散工具快速仿真策略及响应特性
EAGE 2020 Annual Conference & Exhibition Online Pub Date : 2020-12-08 DOI: 10.3997/2214-4609.202011729
L. Cai, S. Deng, Y. Guo, M. Lu, X. Yuan
{"title":"A Novel and Fast Simulation Strategy and Response Characteristics of Array Dielectric Dispersion Tool","authors":"L. Cai, S. Deng, Y. Guo, M. Lu, X. Yuan","doi":"10.3997/2214-4609.202011729","DOIUrl":"https://doi.org/10.3997/2214-4609.202011729","url":null,"abstract":"Summary Dielectric dispersion logging has been widely used in carbonate and tight oil or gas reservoir, new generations of dielectric logging tool has utilized wideband frequencies and multi-sensors to obtain formation parameters like resistivity, permittivity and water saturation. These measurements are rich in formation information with lots of logging curves generated, inversion and data processing of these measurements are complicated and time consuming. And we have studied the tool physics and spatial sensitivity of dielectric scanner which is developed at 2008 by Schlumberger. Since downhole environment of dielectric logging tool is a complicated three dimensional formation model, we have employed a novel and efficient simulation strategy based on formation model simplification method, a pseudo analytical method is applied to tackle this simplified problem. Response signal are calibrated into attenuation and phase shift, multiple response charts under different tool and formation conditions are simulated via this algorithm, and we have analysis the response characteristics of dielectric logging at different frequencies and different spacing through these charts. The simulation strategy is proved to be feasible and efficient, and it is a crucial for inversion and data processing of dielectric scanner measurements.","PeriodicalId":354849,"journal":{"name":"EAGE 2020 Annual Conference & Exhibition Online","volume":"271 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123052860","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
An Adaptive Demultiple Method Based on Inversion of Two-Dimensional Nonstationary Filter 基于二维非平稳滤波器反演的自适应解多方法
EAGE 2020 Annual Conference & Exhibition Online Pub Date : 2020-12-08 DOI: 10.3997/2214-4609.202010633
P. Zhao, H. Zhao, H. Li, S. He, G. Li
{"title":"An Adaptive Demultiple Method Based on Inversion of Two-Dimensional Nonstationary Filter","authors":"P. Zhao, H. Zhao, H. Li, S. He, G. Li","doi":"10.3997/2214-4609.202010633","DOIUrl":"https://doi.org/10.3997/2214-4609.202010633","url":null,"abstract":"Summary This study uses the separability of the primary and multiple waves in the Radon domain to invert the filter coefficients at each point in the space-time profile, thereby suppressing the multiples using a two-dimensional nonstationary filtering technique. Compared with the parabolic Radon transform, it does not need to perform the inverse Radon transform, and alleviates the truncation effect caused by clearing the data in the Radon domain. Compared with two-dimensional nonstationary filtering, the uncertainty and subjectivity of filter design are avoided. Therefore, it is not just a simple combination of parabolic Radon transform and two-dimensional non-stationary filtering. Synthetic and field data examples show that this method has better ability of demultiple and amplitude preserving.","PeriodicalId":354849,"journal":{"name":"EAGE 2020 Annual Conference & Exhibition Online","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115296022","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
Structurally Constrained Anisotropic Multi-Wave-Inversion Utilizing Machine Learning and Big Data on a Middle East OBC Project 基于机器学习和大数据的结构约束各向异性多波反演在中东OBC项目中的应用
EAGE 2020 Annual Conference & Exhibition Online Pub Date : 2020-12-08 DOI: 10.3997/2214-4609.202011047
V. Prieux, T. Bardainne, A. Meffre, H. Prigent, F. J. V. Kleef, M. Waqas, L. Hou
{"title":"Structurally Constrained Anisotropic Multi-Wave-Inversion Utilizing Machine Learning and Big Data on a Middle East OBC Project","authors":"V. Prieux, T. Bardainne, A. Meffre, H. Prigent, F. J. V. Kleef, M. Waqas, L. Hou","doi":"10.3997/2214-4609.202011047","DOIUrl":"https://doi.org/10.3997/2214-4609.202011047","url":null,"abstract":"Summary Challenged by the presence of strong anisotropy and velocity reversals in the near surface, we apply structurally constrained anisotropic multi-wave inversion (MWI), over 1200 km2 of OBC data offshore Abu Dhabi. MWI aims to simultaneously invert the P-wave first breaks (FB), the ground roll dispersion curves (DC) and the vertical two-way times (VTWT) of the main interfaces. In this study, MWI is extended to invert for the Thomsen’s anisotropic parameter  that is constrained by the FB and the VTWT. The high resolution Vp and  obtained from MWI greatly contribute to the velocity model building. Additionally, geomechanical parameters like the uniaxial compressive strength (UCS) are also derived from the combination of Vp and Vs. We highlight the importance of proper preconditioning of the DC and FB inputs using data mining tools when applying the method to a large production dataset. Machine learning (ML) is used to better account for the vertical and horizontal geological variability of the survey in picking the phase velocity, while data mining tools allow interactive QC and editing of the FB picks on large data sets.","PeriodicalId":354849,"journal":{"name":"EAGE 2020 Annual Conference & Exhibition Online","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125674355","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: 3
Pore-Scale Simulations of Residual Trapping in Homogeneous and Heterogeneous Porous Media 均匀和非均匀多孔介质中残余捕集的孔隙尺度模拟
EAGE 2020 Annual Conference & Exhibition Online Pub Date : 2020-12-08 DOI: 10.3997/2214-4609.202011565
Rumbidzai. A. E. Nhunduru, K. Wlodarczyk, A. Jahanbakhsh, O. Shahrokhi, S. García, M. Maroto-Valer
{"title":"Pore-Scale Simulations of Residual Trapping in Homogeneous and Heterogeneous Porous Media","authors":"Rumbidzai. A. E. Nhunduru, K. Wlodarczyk, A. Jahanbakhsh, O. Shahrokhi, S. García, M. Maroto-Valer","doi":"10.3997/2214-4609.202011565","DOIUrl":"https://doi.org/10.3997/2214-4609.202011565","url":null,"abstract":"Summary Trapping of the non-wetting carbon dioxide (CO₂) phase in interstitial rock pore spaces by capillary forces (residual trapping) is critical to CO₂ storage operations and is strongly influenced by the structural heterogeneity and wettability of the reservoir rock. Whilst much time and effort has been devoted to studying residual trapping in water-wet systems, very few studies have focused on residual trapping under intermediate-conditions. This work provides detailed insight regarding fluid displacement process under such conditions. Pore-scale, immiscible two-phase flow simulations were conducted using the Finite Volume discretization method (FVM) in OpenFOAM® to investigate the effect of structural heterogeneity on residual trapping in porous media. Two pore-network patterns were implored in the simulations; a homogeneous pore-network analogous to that of a reservoir rock known as Oolitic limestone and a heterogeneous pore-network pattern similar to that of Berea sandstone. Simulation results showed that homogeneity in porous structure results in cooperative pore-filling mechanisms dominating over snap-off mechanisms, encouraging compact, stable front invasion and high fluid sweep efficiency. Higher pore to throat size aspect ratios were found to promote snap-off mechanisms which in-turn results in enhanced residual trapping. The presence of dead-end type pores was also found to promote residual trapping.","PeriodicalId":354849,"journal":{"name":"EAGE 2020 Annual Conference & Exhibition Online","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132196329","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
Seismic Processing with Deep Convolutional Neural Networks: Opportunities and Challenges 用深度卷积神经网络处理地震:机遇与挑战
EAGE 2020 Annual Conference & Exhibition Online Pub Date : 2020-12-08 DOI: 10.3997/2214-4609.202010647
S. Hou, H. Hoeber
{"title":"Seismic Processing with Deep Convolutional Neural Networks: Opportunities and Challenges","authors":"S. Hou, H. Hoeber","doi":"10.3997/2214-4609.202010647","DOIUrl":"https://doi.org/10.3997/2214-4609.202010647","url":null,"abstract":"Summary Deep convolutional neural networks (DCNNs) are growing in popularity in seismic data processing and inversion due to their achievements in signal and image processing. In this paper we explore the link between DCNN and seismic processing. We demonstrate the potential of the application of DCNNs to seismic processing by analysing its performance with data deblending as an example. We discuss challenges and issues to solve before deploying DCNNs to production, and suggest some directions of study.","PeriodicalId":354849,"journal":{"name":"EAGE 2020 Annual Conference & Exhibition Online","volume":"311 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114291041","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: 4
Comparing Strategies for Local FWI: FD Injection and Immersive Boundary Conditions 局部FWI: FD注入与沉浸式边界条件的比较策略
EAGE 2020 Annual Conference & Exhibition Online Pub Date : 2020-05-20 DOI: 10.3997/2214-4609.202011629
Fernanda Farias, R. Pestana
{"title":"Comparing Strategies for Local FWI: FD Injection and Immersive Boundary Conditions","authors":"Fernanda Farias, R. Pestana","doi":"10.3997/2214-4609.202011629","DOIUrl":"https://doi.org/10.3997/2214-4609.202011629","url":null,"abstract":"Conventional Full Waveform Inversion requires calculating the objective function to be minimized and construction a gradient using the whole property model, when is often the case where geoscientist are only interested in a local region. In this study, we use two strategies to perform local FWI in time domain. One that disregards the interaction of the locally altered model with the exterior (FD injection) and the second that can take these iterations into account (Immersive Boundary Conditions). Numerical tests show the influence of whether or not to set aside these interactions for different accuracy of the exterior model.","PeriodicalId":354849,"journal":{"name":"EAGE 2020 Annual Conference & Exhibition Online","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131224091","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信