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Keywords: seismic data
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Journal Articles
SPE Res Eval & Eng 23 (04): 1420–1439.
Paper Number: SPE-201235-PA
Published: 12 November 2020
... in well resolution but fail when interpolating those facies further away from the 1D domain, because of the lack of correlation between FUs and spatial data. Seismic data can be used to detect large‐scale FUs and assist the interpolation of small‐scale FUs in 3D reservoir volume, thus producing more...
Journal Articles
SPE Res Eval & Eng 20 (04): 0984–1003.
Paper Number: SPE-184410-PA
Published: 16 November 2017
.... Reservoirs of these definitions pose problems during mapping from seismic for well planning and drilling activities, as well as at the production stage. Data for this work consist of a recently acquired full-stack, 3D ocean-bottom-cable (OBC), prestack-time-migrated (PSTM) seismic data; well logs from five...
Journal Articles
SPE Res Eval & Eng 20 (04): 0974–0983.
Paper Number: SPE-175638-PA
Published: 12 December 2016
... distribution in this layer is correctly predicted, given that a karstic volume has been detected in some parts of the reservoir, the boundary of which has been defined by seismic data, and the crossplots of neutron porosity with acoustic impedence validate the reliability of this karstic zone. The results show...
Journal Articles
SPE Res Eval & Eng 20 (02): 334–341.
Paper Number: SPE-183644-PA
Published: 19 August 2016
...Omar A. El Souki; George A. Saad Summary The life of a hydrocarbon field can be distinguished by five main stages: exploration, appraisal, development, production, and abandonment. Of particular interest is the appraisal stage, where the use of seismic data in combination with appraisal wells...
Journal Articles
SPE Res Eval & Eng 19 (02): 253–264.
Paper Number: SPE-171444-PA
Published: 28 April 2016
...M. Emami Niri; D. E. Lumley Summary We present a new method for seismic reservoir characterization and reservoir-property modeling on the basis of an integrated analysis of 3D-seismic data and hydraulic flow units, and apply it to an example of a producing reservoir offshore Western Australia. Our...
Journal Articles
SPE Res Eval & Eng 17 (04): 436–443.
Paper Number: SPE-164417-PA
Published: 10 June 2014
... dimension and 2D/3D continuous wavelet transform (CWT). The use of higher-dimensional wavelets incorporates information from the ensemble of traces and can correlate information between neighboring traces in seismic data. The spectral decomposition that is based on the CWT aids in resolving various features...
Journal Articles
SPE Res Eval & Eng 14 (05): 612–620.
Paper Number: SPE-131310-PA
Published: 27 September 2011
... properties. This approach yields reservoir models that honor the seismic data better than those derived from stochastic simulation only with seismic used as a secondary variable. A numerical experiment is then presented to stress the applicability of the proposed matching methodology: The GDM-based PSO...
Journal Articles
SPE Res Eval & Eng 14 (05): 621–633.
Paper Number: SPE-131538-PA
Published: 21 September 2011
...Alireza Kazemi; Karl D. Stephen; Asghar Shams Summary History matching of a reservoir model is always a difficult task. In some fields, we can use time-lapse (4D) seismic data to detect production-induced changes as a complement to more conventional production data. In seismic history matching, we...
Journal Articles
SPE Res Eval & Eng 13 (03): 391–405.
Paper Number: SPE-119094-PA
Published: 07 June 2010
...-log data, the structure of the reservoir, 10 years of production data, inverted time-lapse seismic data, and other information necessary for the exercise. The parameters to be estimated during the history match were permeability, porosity, and net-to gross- (NTG) thickness ratio. The optimized...
Journal Articles
SPE Res Eval & Eng 12 (03): 371–379.
Paper Number: SPE-105427-PA
Published: 31 May 2009
... and associated fractures mainly has been on the basis of 3D-/2D-seismic data, image logs, cores, and thin sections. The Greater Burgan field consists of the Burgan, Magwa, and Ahmadi structures. The four main reservoir units in the Greater Burgan field are the Wara, Mauddud, Burgan Third, and Burgan Fourth sands...
Journal Articles
SPE Res Eval & Eng 11 (06): 984–990.
Paper Number: SPE-96577-PA
Published: 29 December 2008
... 12 2008 8 10 2005 29 12 2008 Copyright 2008, Society of Petroleum Engineers Artificial Intelligence machine learning Upstream Oil & Gas petroleum engineering seismic data petrophysical property identification december 2008 probability distribution procedure...
Journal Articles
SPE Res Eval & Eng 11 (06): 991–999.
Paper Number: SPE-100295-PA
Published: 29 December 2008
... by iteratively updating the model. Updated-model probabilities can then be used to analyze uncertainty. The method has been applied to the Schiehallion UK Continental Shelf (UKCS) reservoir. We first found a good match to production and seismic data in the field. From the updated probability distribution...
Journal Articles
SPE Res Eval & Eng 11 (05): 832–841.
Paper Number: SPE-102340-PA
Published: 24 October 2008
...J. Eric Bickel; Richard L. Gibson; Duane A. McVay; Stephen Pickering; John Waggoner Summary Seismic data provide essential information for guiding reservoir development. Improvements in data quality hold the promise of improving performance even further, provided that the value of these data...
Journal Articles
SPE Res Eval & Eng 10 (05): 446–452.
Paper Number: SPE-97808-PA
Published: 19 October 2007
... an analysis of time-lapse and crosswell seismic data, as part of an overall study integrating different disciplines and technologies, to understand the effects of geology on SAGD-process performance in the pilot area. A 3D baseline survey was conducted at the start of the pilot in 2001, and two follow up...
Journal Articles
SPE Res Eval & Eng 8 (02): 132–142.
Paper Number: SPE-84412-PA
Published: 14 April 2005
... in the vicinity of the wellbore through incorporation of core data, borehole imagery, and pressure-transient data. Model uncertainty generally increases with distance from the borehole. Three-dimensional seismic data provide uncalibrated information throughout the interwell space. Some elementary seismic...
Journal Articles
SPE Res Eval & Eng 7 (06): 416–426.
Paper Number: SPE-81544-PA
Published: 01 December 2004
... properties at various scales of resolution are accessible in the MRFs. We construct fine-scale porosity distribution from well and seismic data, explicitly accounting for the varying scale and precision of the data types. First, we derive a relationship between the neutron porosity and the seismic amplitudes...
Journal Articles
SPE Res Eval & Eng 7 (02): 116–122.
Paper Number: SPE-88033-PA
Published: 01 April 2004
... artificial intelligence simulation spe reservoir evaluation coefficient history optimization problem production data seismic data matching realization reservoir model objective function mismatch optimization process production monitoring upstream oil & gas reservoir surveillance le...
Journal Articles
SPE Res Eval & Eng 6 (06): 369–375.
Paper Number: SPE-87304-PA
Published: 01 December 2003
... porosity within individual sand units. Finally, we have made use of geostatistical inversion of 3D post-stack seismic data to estimate the lateral extent of hydrocarbon-bearing sands laterally away from wells. We present several application examples that yield results consistent with borehole testing...
Journal Articles
SPE Res Eval & Eng 5 (05): 410–420.
Paper Number: SPE-79961-PA
Published: 01 October 2002
... saturation changes. These methods, as applied to the Bay Marchand, showed that useful saturation predictions could be made from the seismic data shot 30 years after initial production with a recent, nonexclusive survey. From these data, both downdip and updip wells were drilled successfully. Multiple seismic...
Journal Articles
SPE Res Eval & Eng 4 (01): 64–72.
Paper Number: SPE-69739-PA
Published: 01 February 2001
...) by using the statistical mass of the large number of vectors sampled in the seismic data set. Our approach results in a powerful signal-analysis method that is statistical in nature. We believe it offers data-driven objectivity and a potential for property extraction not easily achieved in model-driven...

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