... seismic facies analysis reservoir characterization exploration geophysicist interpretation geology spectral decomposition seismic data seismic facies clustering geologist machine learning american association som application 3D seismic facies clustering through spectral decomposition using...

... & gas neural information processing system self-organizing map classification applied geoscience geophysics interpretation recurrent neural network deep learning pattern recognition sutskever international conference seismic facies analysis hinton convolutional neural network exploration...

... Seismic facies analysis mainly uses the differences between seismic signals to classify/cluster the stratigraphic reflection characteristics. Traditional methods view the data points as isolated samples regardless of adjacent seismic traces. This results in poor lateral continuity...

... facies constraints, which will significantly improve the inversion results. The constraints of planar sandstone ratio are established by seismic facies analysis, and the facies-controlled geostatistical inversion method was applied to Bohai A Oilfield successfully. This method effectively improve...

... ABSTRACT Traditionally seismic facies analysis need to employ a set of seismic attribute that are related to geologic heterogeneities. However, the seismic attribute map can be presented on different color code, which will cause multiple solutions of seismic facies interpretation. The major...

... ABSTRACT Seismic waveform classification is an important technique for seismic facies analysis. The most existing methods use a fixed time window to extract seismic data along the interpretation horizon and then classify them. However, when the thickness of target layer has a large change...

... ABSTRACT One of the important factors for seismic facies analysis is the input data of clustering or classification algorithm. The input data is linearly separable, and it is easy to define the seismic facies. Seismic waveform data is redundant and often used as the input data. Therefore, we...

... ABSTRACT Seismic facies analysis is a useful and important seismic technique for reservoir characterization. It can be carried out by classifying the seismic waveforms using supervised classification methods. Pre-stack seismic data carries abundant stratigraphic and depositional information...

... ABSTRACT Unsupervised seismic facies are a convenient and efficient method for interpretation. Current seismic facies analysis mostly focuses on the improvement of the precision of seismic facies belt prediction. In this paper, we propose a clustering method that simultaneously learns feature...

... , Analysing seismic attributes : Seismic data interpretation and evaluation for hydrocarbon exploration and production , 171 – 185 . Song , C. , L. Zhining , W. Yaojun , L. Xingming , H. Guangmin , 2017 , Multi-waveform classification for seismic facies analysis...

... in Bahrain field : SPE Middle East Oil and Gas Show and Conference, Society of Petroleum Engineers . Bloch , G. , M. El Deeb , H. Badaam , F. Cailly , G. Lecante , and A. Meunier , 2003 , Seismic facies analysis for fracture detection: a powerful technique...

...: Wednesday, September 27, 2017 Start Time: 4:45 PM Location: 340A Presentation Type: ORAL color correspond machine learning data conditioning muderong shale seismic facies analysis reservoir characterization carnarvon basin annual meeting interpretation seismic interpretation upstream oil...

... ABSTRACT As a powerful and the most popular seismic facies analysis method, self-organizing map (SOM) projects multiple attributes into a lower dimensional (usually 2D) latent space. Because of lacking geological time information, the seismic facies classification results sometimes...

... ABSTRACT Waveform classification techniques is a powerful tool for seismic facies analysis by describing the heterogeneity and compartments within a reservoir. The interpretation of horizon is critical to the process of waveform classification. The error of horizon, which is inevitable...

... Summary Seismic, well data and regional geology indicate that the Top Gotnia salt was deposited on a broad carbonate platform. This sequence undergoes a lateral transition from halite to dominantly anhydrite in the southwest & southern Kuwait. Seismic facies analysis is carried out to map...

... Summary Seismic facies analysis provides an effective way to estimate the properties of reservoir and characterize its heterogeneity. The conventional approach used to generate a map of seismic facies utilizes the poststack seismic attributes. In order to find more complex and atypical...

... waveform generative topographic mapping seismic facies analysis oklahoma self-organizing map upstream oil & gas vector kohonen arcis seismic solution artificial intelligence synthetic trace university waveform classification map latent space seismic waveform machine learning...

...Post-processing supervised seismic facies analysis for an improved integration in reservoir modeling Mohammed Ismail Syed and Chintamani Vemparala, Kuwait Oil Company Romain Baillet, Nicolas Desgoutte, Aurélie Pujol and Frédérique Fournier, Beicip-Franlab Summary This paper proposes two seismic...

... in the 3D seismic dataset from the Anadarko basin in central Oklahoma. latent space eigenvector artificial intelligence seg houston 2013 red fork formation seismic facies analysis classification upstream oil & gas algorithm pca analysis oklahoma inductive learning prototype vector...

... County, Oklahoma, using automatic seismic facies analysis. The results are then correlated with the geology and the log information in the survey. chert rich zone seismic facies analysis chert reservoir mississippian lime waveform reservoir characterization unsupervised seismic facies...