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Facies

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Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3214088
... ABSTRACT An ongoing challenge to seismic interpreters is to identify and extract heterogeneous seismic facies on data volumes that are continually increasing in size. Geometric, geomechanical, and spectral attributes help to extract key features but add to the number of data volumes...
Proceedings Papers

Paper presented at the 2016 SEG International Exposition and Annual Meeting, October 16–21, 2016
Paper Number: SEG-2016-13954311
... ABSTRACT We present in this paper a methodology to use prestack seismic inversion results to constrain facies modeling in unconventional reservoirs. The fact that the exploitation of unconventional reservoirs typically relies on the use of large numbers of long, closely spaced, data poor...
Proceedings Papers

Paper presented at the 2010 SEG Annual Meeting, October 17–22, 2010
Paper Number: SEG-2010-2654
... Summary Modeling permeability in heterogeneous carbonate reservoirs may be challenging due to often extreme spatial variations in pore geometry. This paper introduces a method to model permeability in terms of Flow-Zone Facies, and demonstrates this approach in a case study. The method...
Proceedings Papers

Paper presented at the SPE Middle East Oil & Gas Show and Conference, November 28–December 1, 2021
Paper Number: SPE-204801-MS
... subsurface data at northern Kuwait. Outcrop measurements such as; stratigraphic successions, facies distribution, critical facies trends, and paleocurrent analysis have been collected along the 60 km length of the Jal Az-Zor escarpment. Such measurements were combined with thin section lab analysis...
Proceedings Papers

Paper presented at the SPE Middle East Oil & Gas Show and Conference, November 28–December 1, 2021
Paper Number: SPE-204705-MS
... The most direct way to identify the facies is to study the core samples acquired from the borehole. While core samples provide a detailed insight of the rock formation, the acquisition cost may make it challenging to acquire a sufficiently large amount of rocks to have an accurate understanding...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207344-MS
..., treading near NEE-SWW (near EW direction). At present, oil and gas are mainly found in the carbonate reservoirs in the Lower Cretaceous, mainly in zones A, B and C respectively. The buried depth of the target layers is between 6000-9500 ft. Gentle ramp beach facies reservoirs are developed in the study...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207828-MS
... Figure 3 Cross section showing the depositional model evolution of the Shuaiba platform associated with facies associations. Shuaiba platform is a composite sequence with six sequences at third-order scale log analysis upstream oil & gas reservoir characterization structural...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208344-MS
...Abstract Abstract The commonly used method of analyzing 3D seismic facies classification data by stitching together 2D cross-sections can produce unrealistic discontinuities in geological features. Depending on the direction in which the 2D cross-sections are taken, some features...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3580872
... FORCE: Machine Predicted Lithology was a challenging facies classification contest using well logs from the North Sea’s Norwegian coast. As we built different machine learning workflows to predict the lithofacies best, we encountered a few interesting challenges. The first involved merging...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3580362
...Rock Physics Study: Facies Modeling of Glacial Channels Ahmed Al-Dawood* and Salma Alsinan, Saudi Aramco sandstone across the Arabian Plate. The Ordovician glacial sandstone was deposited in a glaciomarine environment, Summary where sub-glacial erosion of tunnel valleys fed glacial outwash fans...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3584046
... We propose an encoder-decoder convolutional neural network to simultaneously detect channel facies and faults in seismic volumes. We test our method on the Parihaka dataset in New Zealand from the 2020 SEG Annual Meeting Machine Learning Blind-Test Challenge Workshop. The training labels come...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583873
... area. To understand the heterogeneity of the Waha reservoir properties, we first classified the reservoir facies based on their fabrics using a supervised neural network method. The classified facies which reflect the effect of depositional texture were then combined with the Xu-Payne rock physical...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3568032
...), is applied to ocean-bottom data acquired at Volve field in the North Sea. The facies-based constraints help build high-resolution TTI velocity fields and accurately image the reservoir region. In particular, the developed algorithm substantially increases the resolution of the inverted P- and S-wave symmetry...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3574779
... in south Texas. We focus on the responses of the random forest model to sedimentary facies and the strategies to achieve better prediction with various data conditions. We apply explained variation ( R 2 ) and root-mean-square prediction errors (RMSE) to map the relationship between quality of prediction...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3579316
... Delineation of geologic facies from seismic reflection data plays an important role in reservoir characterization during hydrocarbon exploration and development. Facies classification is often done manually by an experienced interpreter, which makes this process subjective and inefficient...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3586928
... In this paper, we demonstrate a workflow to detect channel reservoir quality within a pro-glacial channel system. The workflow is based on training a 2D UNET network on a realistic 3D geological model conditioned by the facies at the wells. The goal is to simulate the facies distribution...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3582241
... Robust facies classification from 3D seismic data plays a key role in successful reservoir identification and characterization. Machine learning, particularly supervised convolutional neural network (CNN), has been extensively implemented for both improved efficiency and accuracy of seismic...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583072
... We propose a deep neural network based framework for seismic facies classification. The proposed framework utilizes a generative adversarial network for segmentation to learn a mapping from seismic reflection data to lithological facies. We incorporate uncertainty analysis into the workflow...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583352
... Seismic facies interpretation provides important reference information for oil and gas drilling location. In the past, the research and application of seismic facies in deep learning usually relied on the rich data sets provided by the government. However, in practical applications, the number...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594315
... aapg bulletin reconstruction well log pathway elastic property facies classification semi-supervised facies classification Semi-supervised facies classification with reconstruction cooperation Saleem Asghar*, Joongmoo Byun, RISE.ML, Hanyang University Summary wire-line logs. This persuades...

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