Leading Edge最新文献_第10页

President's Page: 2023 is off to a good start! 总统致辞：2023年是一个良好的开端！

Leading Edge Pub Date : 2023-01-01 DOI: 10.1190/tle42010006.1

Ellie Ardakani

引用次数: 0

Spectral extrapolation principles and application: Mindoro Island, Philippines, seismic data 谱外推法原理和应用：菲律宾民都罗岛，地震数据

Leading Edge Pub Date : 2023-01-01 DOI: 10.1190/tle42010044.1

C. Puryear, R. Tharimela, D. Ray, V. Egorov, Graeme Baille, A. Hernandianto

引用次数: 0

Superior resolution through multiparameter FWI imaging: A new philosophy in seismic processing and imaging 通过多参数FWI成像获得卓越分辨率：地震处理和成像的新理念

Leading Edge Pub Date : 2023-01-01 DOI: 10.1190/tle42010034.1

J. McLeman, T. Rayment, T. Burgess, K. Dancer, G. Hampson, A. Pauli

{"title":"Superior resolution through multiparameter FWI imaging: A new philosophy in seismic processing and imaging","authors":"J. McLeman, T. Rayment, T. Burgess, K. Dancer, G. Hampson, A. Pauli","doi":"10.1190/tle42010034.1","DOIUrl":"https://doi.org/10.1190/tle42010034.1","url":null,"abstract":"Seismic processing and imaging workflows have been refined over many decades to attenuate aspects of the recorded wavefield which would be improperly mapped into the image domain by legacy migration algorithms such as Kirchhoff prestack depth migration. These workflows, which include techniques such as deghosting, designature, demultiple, and regularization, have become increasingly complex and time-consuming due to the sequential fashion in which they must be tested and applied. The single-scattering (primary-only) preprocessed data are then migrated and used in extensive model building workflows, including reflection residual moveout tomography, to refine low-frequency subsurface models. Obtaining optimal results at each stage requires subjective assessment of a wide range of parameter tests. Results can be highly variable, with different decisions resulting in very different outcomes. Such workflows mean that projects may take many months or even years. Full-waveform inversion (FWI) imaging offers an alternative philosophy to this conventional approach. FWI imaging is a least-squares multiscattering algorithm that uses the raw field data (transmitted and reflected arrivals as well as their multiples and ghosts) to determine many different subsurface parameters, including reflectivity. Because this approach uses the full wavefield, the subsurface is sampled more completely during the inversion. Here, we demonstrate the application of a novel multiparameter FWI imaging technique to generate high-resolution amplitude variation with angle reflectivity simultaneously with other model parameters, such as velocity and anisotropy, directly from the raw field data. Given that these results are obtained faster than the conventional workflow with a higher resolution, improved illumination, and reduced noise, we highlight the potential of multiparameter FWI imaging to supersede the conventional workflow.","PeriodicalId":35661,"journal":{"name":"Leading Edge","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49258782","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

Workshop Review: Virtual workshop on AI and machine learning in geophysics draws global audience 研讨会回顾:地球物理学中人工智能和机器学习的虚拟研讨会吸引了全球观众

Leading Edge Pub Date : 2022-12-01 DOI: 10.1190/tle41120872.1

S. Brown

引用次数: 0

President's Page: A perspective from ‘the future’ 总统专页:从“未来”看问题

Leading Edge Pub Date : 2022-12-01 DOI: 10.1190/tle41120812.1

Samara Omar

引用次数: 0

Getting the most out of a large data set: A case study for a large 3D seismic interpretation project in the Carnarvon Basin, NW Australia 最大限度地利用大数据集:以澳大利亚西北部Carnarvon盆地的大型三维地震解释项目为例

Leading Edge Pub Date : 2022-12-01 DOI: 10.1190/tle41120857.1

J. Shadlow, D. Christiansen, Meshari Al-Houli, A. Paxton, Thomas Wilson

{"title":"Getting the most out of a large data set: A case study for a large 3D seismic interpretation project in the Carnarvon Basin, NW Australia","authors":"J. Shadlow, D. Christiansen, Meshari Al-Houli, A. Paxton, Thomas Wilson","doi":"10.1190/tle41120857.1","DOIUrl":"https://doi.org/10.1190/tle41120857.1","url":null,"abstract":"A case study is presented for the seismic interpretation of a 3D seismic reprocessing project covering approximately 7200 km2 within a rift basin setting on the Northwest Shelf of Australia. The area includes two main petroleum plays: the Cretaceous Barrow Group Delta and the fluvio-deltaic Triassic Mungaroo Formation. Multiple 3D surveys of varying vintages were reprocessed to provide a unified continuous data set over the area. Seismic amplitude variation with offset inversions were conducted in time and depth domains to produce acoustic impedance and VP/VS volumes. The use of depth-domain inversion enabled more accurate inversion products to be developed with a large lateral and vertical zone of interest to assist in prospectivity assessments. Project time and cost constraints indicated a traditional seismic interpretation process would be ineffective and inefficient. The workflows applied included optimizations of the initial horizon interpretation to improve efficiency, machine learning (ML)-based automatic fault interpretation to save time, and bulk horizon interpretation for time savings and rapid stratal slicing. Utilizing ML and automated interpretation processes in conjunction with seismic inversion products enabled a full prospectivity assessment to be developed within six months. In addition to completing the work within the available time, the applied workflows allowed for significantly more time to be spent on prospectivity assessment rather than structural and stratigraphic interpretations.","PeriodicalId":35661,"journal":{"name":"Leading Edge","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44595059","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

Inclusion of seismic attributes in reservoir ensemble coverage analysis 地震属性在储层整体覆盖分析中的应用

Leading Edge Pub Date : 2022-12-01 DOI: 10.1190/tle41120848.1

E. Lie, T. Bhakta, I. Sandø

{"title":"Inclusion of seismic attributes in reservoir ensemble coverage analysis","authors":"E. Lie, T. Bhakta, I. Sandø","doi":"10.1190/tle41120848.1","DOIUrl":"https://doi.org/10.1190/tle41120848.1","url":null,"abstract":"There is a lack of quality-control (QC) methods to ensure measured seismic data are within the span of modeled seismic data in the context of ensemble-based seismic history matching of reservoir models. The dimensionality of seismic data makes it difficult to visualize the data and further compare them to the large number of ensembles in an efficient manner. Two attributes called coverage and importance are introduced to incorporate the key elements of reviewing an ensemble. The coverage attribute delineates where the set of models replicates the measured data, and the importance attribute identifies where it is important to fit the data above the noise threshold. The two attributes are then combined to highlight in which spatial area our reservoir model ensemble appropriately models the data and where a significant discrepancy exists between our ensemble of models and the measured data. The attributes are closely connected to noise, as coverage always must be analyzed in terms of the noise level. Although noise may not be explicitly corrected for, the methodology corrects the attributes for the noise assessed. The method is applied on two data examples from field seismic data: a 4D absolute difference amplitude map and a 4D relative impedance difference cube. The first example shows how changing the oil-water contact of the ensemble can improve the coverage without any history matching, and the second shows how it is more difficult to get a good coverage using 3D seismic attributes rather than using 2D maps of seismic data. The proposed QC attributes provide tools to better manage coverage of seismic data in the ensemble.","PeriodicalId":35661,"journal":{"name":"Leading Edge","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47894730","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

Integration of seismic data in reservoir modeling through seismically constrained facies models 地震约束相模型在储层建模中的地震数据集成

Leading Edge Pub Date : 2022-12-01 DOI: 10.1190/tle41120815.1

M. Amaru, Lewis Li, Aigul Tyshkanbayeva

引用次数: 1

4D petroelastic model calibration using time-lapse seismic signal 利用延时地震信号标定4D岩石弹性模型

Leading Edge Pub Date : 2022-12-01 DOI: 10.1190/tle41120824.1

D. Rappin, P. Trinh

{"title":"4D petroelastic model calibration using time-lapse seismic signal","authors":"D. Rappin, P. Trinh","doi":"10.1190/tle41120824.1","DOIUrl":"https://doi.org/10.1190/tle41120824.1","url":null,"abstract":"In the last two decades, 4D seismic monitoring has become a widely used technique for oil and gas field production. Modeling studies are a standard for defining reservoir monitoring plans, optimizing survey design, and justifying the expense of data acquisition. Discrepancies between 4D seismic data and synthetic results can be analyzed through petroelastic modeling of reservoir simulations. However, assuming that a history match is available and that the reservoir model and fluid-flow simulation results can be trusted, characterization of pressure and fluid changes in the field remain challenging. A workflow is proposed to adjust the 4D petroelastic model (PEM) to better fit 4D seismic attributes with the dynamic behavior of the reservoir. The input data for 4D inversion consist of multiple broadband 4D-compliant processed base and monitor surveys recorded in a highly depleted clastic field offshore Africa. The broadband inversion results greatly reduce the background noise level, enhance the signal-to-noise ratio, and improve the definition of 4D signals. Due to various production effects all over the field, a new global calibration workflow to speed up the 4D petroelastic model adjustment is proposed. The combination of good 4D seismic inversions and a well-calibrated PEM is expected to have a significant impact on the reservoir monitoring. During the calibration process, reservoir model discrepancies with 4D seismic attributes can be identified, suggesting some updates of the reservoir model. In addition, when further monitors are considered, the calibrated 4D PEM provides more reliable predictability.","PeriodicalId":35661,"journal":{"name":"Leading Edge","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49108329","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 Soundoff: Integrating digital transformation to improve business processes 地震声波:集成数字化转换以改进业务流程

Leading Edge Pub Date : 2022-12-01 DOI: 10.1190/tle41120884.1

A. Geary

引用次数: 0