81st EAGE Conference and Exhibition 2019最新文献_第6页

Large-Dimensional Seismic Inversion Based on Global Optimization and Autoencoder 基于全局优化和自编码器的大维地震反演

81st EAGE Conference and Exhibition 2019 Pub Date : 2019-06-03 DOI: 10.3997/2214-4609.201900763

Z. Gao, Z. Pan, J. Gao, Z. Xu

引用次数: 2

Enhance Dynamic-Warping for FWI to Mitigate Cycle-Skipping 增强FWI动态翘曲以减轻周期跳变

81st EAGE Conference and Exhibition 2019 Pub Date : 2019-06-03 DOI: 10.3997/2214-4609.201901223

T. Wang, Y. Xie, M. Wang, Y. Guo, S. Wu, X. Ding, S. Wolfarth, Y. Supriatna, P. Santoso

引用次数: 0

Deep Structure of the Gangdese Batholith in Southern Tibet Constrained by Aeromagnetic Anomaly 受航磁异常约束的藏南冈底斯基深部结构

81st EAGE Conference and Exhibition 2019 Pub Date : 2019-06-03 DOI: 10.3997/2214-4609.201901495

J. Wang, C. Yao, Z. Li, Q. Liu, Y. Zheng

引用次数: 0

Sub-Seismic Structural Observations Adjacent to a Salt Diapir: The Oda Field, Norwegian North Sea 盐底辟附近的次地震构造观测:挪威北海Oda油田

81st EAGE Conference and Exhibition 2019 Pub Date : 2019-06-03 DOI: 10.3997/2214-4609.201901254

C. Ward, P. Mackintosh, Ø. Clausen, M. Ackers

引用次数: 0

The Generalized Coherence Algorithm on Seismic Data Based on the Kernel Function 基于核函数的地震数据广义相干算法

81st EAGE Conference and Exhibition 2019 Pub Date : 2019-06-03 DOI: 10.3997/2214-4609.201901172

F. Sun, J. Gao, B. Zhang, Z. Wang, N. Liu

引用次数: 0

Seismic High Amplitude Noise Attenuation Based on the Deep Learning Method 基于深度学习方法的地震高振幅噪声衰减

81st EAGE Conference and Exhibition 2019 Pub Date : 2019-06-03 DOI: 10.3997/2214-4609.201901356

Z. Zhu, D. Cao, B. Wu

引用次数: 0

Efficient Suppression of Multiples in the Valemon-Kvitebørn Reprocessing and Imaging Project Valemon-Kvitebørn再处理和成像项目中倍数的有效抑制

81st EAGE Conference and Exhibition 2019 Pub Date : 2019-06-03 DOI: 10.3997/2214-4609.201900777

D. Lokshtanov, J. Fjellanger, R. Anisimov, R. Davletkhanov, D. Finikov

引用次数: 0

Identification of Stratigraphic Boundaries of a Well Using Wavelet and Fourier Transform 利用小波和傅里叶变换识别井地层边界

81st EAGE Conference and Exhibition 2019 Pub Date : 2019-06-03 DOI: 10.3997/2214-4609.201901062

R. Prajapati, U. Singh, M. Abdullahi

引用次数: 0

Advanced Geophysical Measurement Methods Using Engineered Fiber Optic Acoustic Sensor 基于工程光纤声传感器的先进地球物理测量方法

81st EAGE Conference and Exhibition 2019 Pub Date : 2019-06-03 DOI: 10.3997/2214-4609.201901247

M. Farhadiroushan, T. Parker, S. Shatalin, A. Gillies, Z. Chen, A. Clarke, G. Naldrett

{"title":"Advanced Geophysical Measurement Methods Using Engineered Fiber Optic Acoustic Sensor","authors":"M. Farhadiroushan, T. Parker, S. Shatalin, A. Gillies, Z. Chen, A. Clarke, G. Naldrett","doi":"10.3997/2214-4609.201901247","DOIUrl":"https://doi.org/10.3997/2214-4609.201901247","url":null,"abstract":"Summary Distributed Acoustic Sensing (DAS) technology enables advanced geophysical measurement methods, where the fibre optic cable is deployed as a dense, wide-aperture phase-array sensor in novel configurations. A sensing system has recently been developed that combines an engineered fiber with bright scatter centers with a low-noise, wide dynamic-range optoelectronics DAS interrogator. This enhanced DAS with engineered fiber offers a 20dB (100x) improvement in sensitivity and dynamic range compared to that achieved with standard fiber. The new DAS technology seeks to disrupt conventional geophysical surveying methods, and so enable the realisation of new applications. In unconventional wells, in addition to seismic and microseismic measurements, the improved low frequency response of the DAS system, down to the milli-Hertz level, is used to monitor hydraulically induced strain effects. In offshore applications, the permanent installation of the fiber optic along production and injection wells is enabling more frequent and cost-effective seismic data to be acquired. The next challenge is stepping out to subsea wells. We present some initial lab results demonstrating the benefits of the engineered fiber for advanced seismic acquisition in long-tie back subsea wells using only surface optoelectronics.","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88111663","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

Integration of Fault Location Uncertainty in Time to Depth Conversion 时间深度转换中故障定位不确定性的集成

81st EAGE Conference and Exhibition 2019 Pub Date : 2019-06-03 DOI: 10.3997/2214-4609.201900743

F. Geffroy, Pedro Correia, H. Binet, J. Chautru, D. Renard, N. Nosjea-Gorgeu

{"title":"Integration of Fault Location Uncertainty in Time to Depth Conversion","authors":"F. Geffroy, Pedro Correia, H. Binet, J. Chautru, D. Renard, N. Nosjea-Gorgeu","doi":"10.3997/2214-4609.201900743","DOIUrl":"https://doi.org/10.3997/2214-4609.201900743","url":null,"abstract":"Summary Faults are objects interpreted from seismic data that are often difficult to characterize. Not only the type of a fault can appear different depending on the domain the modeler is working on (time or depth), but accurate shape mapping often extends below the level of coherent seismic data. This proves especially impactful when we consider that simple errors in the fault-network characterization can render a subsurface model useless in terms of its flow properties and provide erroneous values for volumes of reserves. Nevertheless, in absence of proper technology, depth conversion workflows do not account for fault uncertainties, instead relying on a single deterministic interpretation. This paper presents a new methodology that considers positional fault uncertainty in time-to-depth conversion workflows. By considering different realizations of a fault, the target surface is dynamically adapted to this new position and can be used to update further volumetric computations. The proposed methodology can be fully automated and results in a more complete exploration of the uncertainty space regarding fault interpretation.","PeriodicalId":6840,"journal":{"name":"81st EAGE Conference and Exhibition 2019","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88388718","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