80th EAGE Conference and Exhibition 2018最新文献

The Experiment of Burial Dissolution Kinetics for Dolomitized Limestone 白云化灰岩埋藏溶解动力学实验

80th EAGE Conference and Exhibition 2018 Pub Date : 2018-06-11 DOI: 10.3997/2214-4609.201801603

T. Zhang, D. Wei, R. Xiong, D. Li, Y. Wang

引用次数: 0

Interpretation of Late Carboniferous Thin-Skinned Structures on a Seismic Image 晚石炭世薄皮构造在地震图像上的解释

80th EAGE Conference and Exhibition 2018 Pub Date : 2018-06-11 DOI: 10.3997/2214-4609.201801672

D. Dziubacki

{"title":"Interpretation of Late Carboniferous Thin-Skinned Structures on a Seismic Image","authors":"D. Dziubacki","doi":"10.3997/2214-4609.201801672","DOIUrl":"https://doi.org/10.3997/2214-4609.201801672","url":null,"abstract":"Summary Thin-skinned tectonics is related to the shallow crust imbrication structures separated from the basement by basal sole thrust or decollement. Their origin is mainly connected with contractional regimes. Such deformation are common in the foreland of orogenic belts, contractional parts of delta deposits or areas influenced by basin inversion. As an example late-Carboniferous thin-skinned structures from Lublin Basin, Poland were considered. Due to complex geological background exact origin and architecture of tectonic structure is still the subject of research. Interpretation of the structures was conducted on the basis of several 2D seismic lines. For faults and folds identification improvement several seismic attributes were calculated: Similarity, Cosine Phase, Instantaneous Frequency. As a result they give information about lateral continuity of reflections and coherence. Clear changes on the sections of these parameters indicate places where faults exist. Geophysical data were supplied by geological information (e.g. core analysis data). Thanks to the well-tie a few horizons were picked. Discontinuity of horizons was also clear evidence of fault existence. Combination of seismic data with its attributes and geological information leads to more accurate interpretation.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"39 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":"115150099","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

Enhancing Subsurface Disposition Using Visual Rendering of 3D Iso -Resistivity Surfaces 利用三维等电阻率曲面的可视化绘制增强地下配置

80th EAGE Conference and Exhibition 2018 Pub Date : 2018-06-11 DOI: 10.3997/2214-4609.201800954

R. Akinwale, O. Akinwale, O. Waliu

引用次数: 0

Inversion of Self-Potential Anomaly Using Laplace Crossover Operator Based Genetic Algorithm 基于拉普拉斯交叉算子的遗传算法反演自电位异常

80th EAGE Conference and Exhibition 2018 Pub Date : 2018-06-11 DOI: 10.3997/2214-4609.201801739

T. Rajkumar

引用次数: 0

An Empirical Relation between Static and Dynamic Brittleness Indices 静态和动态脆性指标之间的经验关系

80th EAGE Conference and Exhibition 2018 Pub Date : 2018-06-11 DOI: 10.3997/2214-4609.201800811

C. Feng, X. Deng, Z. Wang, T. Sun, Y. Hu

引用次数: 0

One-way Wave-equation Migration of Different Order Surface-related Multiples: An Application to Deep Marine Data 不同阶面相关倍数的单向波方程偏移:在深海数据中的应用

80th EAGE Conference and Exhibition 2018 Pub Date : 2018-06-11 DOI: 10.3997/2214-4609.201800872

Y. Ye, Q. Guo, X. Zhuang, L. Li, B. Wang, Z. Q. Wang

引用次数: 0

A Robust Modeling Approach for Predicting the Rheological Behavior of Thixotropic Fluids 一种预测触变流体流变行为的鲁棒建模方法

80th EAGE Conference and Exhibition 2018 Pub Date : 2018-06-11 DOI: 10.3997/2214-4609.201801295

M. Farahani, R. Shams, S. Jamshidi

引用次数: 8

Application of Machine Learning Algorithms Using Seismic Data and Well Logs to Predict Reservoir Properties 利用地震数据和测井数据的机器学习算法预测储层性质

80th EAGE Conference and Exhibition 2018 Pub Date : 2018-06-11 DOI: 10.3997/2214-4609.201800920

I. Priezzhev, E. Stanislav

{"title":"Application of Machine Learning Algorithms Using Seismic Data and Well Logs to Predict Reservoir Properties","authors":"I. Priezzhev, E. Stanislav","doi":"10.3997/2214-4609.201800920","DOIUrl":"https://doi.org/10.3997/2214-4609.201800920","url":null,"abstract":"This paper provides for a comparison of the classic seismic inversion technique with several multivariate predictive techniques based on machine learning algorithms (linear regression, ACE regression, Random Forest, Neural Network) using seismic data and well logs to estimate rock physical properties. Currently, the estimation of reservoir properties is commonly based on comparative analysis of the distribution of the properties in wells and the elastic properties according to the results of the seismic inversion. Most of the commercial seismic inversion technologies are based on the classical one-dimensional models of seismic exploration involving plane-parallel medium that is described by the linear convolution equation. However, presumably, in some complex cases the linear operators of convolution type cannot properly describe the seismic field distribution. It is assumed that there is a nonlinear absorption of energy of seismic waves in some geological environments, such as in fractured, fluid - rich layers. Such nonlinearity can be shown by vertical and horizontal changes in the seismic wavelet. This paper aims to demonstrate that in certain nonlinear cases using a nonlinear predictive operator based on machine learning algorithms allows to estimate rock physical properties more accurately.","PeriodicalId":325587,"journal":{"name":"80th EAGE Conference and Exhibition 2018","volume":"28 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":"121832698","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: 5

Understanding the imaging challenges at the Frigg Gamma discovery 了解Frigg Gamma发现的成像挑战

80th EAGE Conference and Exhibition 2018 Pub Date : 2018-06-11 DOI: 10.3997/2214-4609.201801443

E. Raknes, A. Osen, R. Pettersen, E. Rykkelid, Ø. Runde

引用次数: 0

Time-Frequency Domain Multi-Scale Full Waveform Inversion Based On Adaptive Non-Stationary Phase Correction 基于自适应非平稳相位校正的时频域多尺度全波形反演

80th EAGE Conference and Exhibition 2018 Pub Date : 2018-06-11 DOI: 10.3997/2214-4609.201800891

Y. Hu, Liguo Han, P. Zhang, Q. Ge

引用次数: 4