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bayes theorem

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Proceedings Papers

Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17798920
... , Z. , X. Yin , and G. Wu , 2012 , AVO inversion and poroelasticity with P- and S-wave moduli : Geophysics , 77 , no. 6 , N17 – N24 , 10.1190/geo2011-0214.1 . PP and PS AVO joint inversion for P- and S-wave moduli based on Bayes theorem Dongjia Hou1 1CNOOC(China...
Proceedings Papers

Paper presented at the 2000 SEG Annual Meeting, August 6–11, 2000
Paper Number: SEG-2000-0658
... Introduction The ability of seismic processing centers to invert data already exceeds our capacity to interpret the inversion output. Many seismic interpreters still ask "What should we do with this additional, new information?" Here we apply Bayes'' Theorem to calibrate the inversion output...
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Application of the <span class="search-highlight">Bayes</span> <span class="search-highlight">theorem</span> to the  θ  2  model with two different pri...
Published: 01 November 2019
Fig. 3 Application of the Bayes theorem to the θ 2 model with two different prior distributions. The likelihood function considers the first 12 months of production data from Well API#4212133349. All probability‐distribution functions are normalized by their maximum values and depicted by the c... More about this image found in Application of the Bayes theorem to the θ 2 model with two different pri...
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Application of the <span class="search-highlight">Bayes</span> <span class="search-highlight">theorem</span> to the  θ  2  model considering the same p...
Published: 01 November 2019
Fig. 4 Application of the Bayes theorem to the θ 2 model considering the same prior distribution but different lengths of production history for the likelihood function of Well API#4212133349. All probability‐distribution functions are normalized by their maximum values and depicted by the colo... More about this image found in Application of the Bayes theorem to the θ 2 model considering the same p...
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The <span class="search-highlight">Bayes</span>’ <span class="search-highlight">theorem</span> idea applied to Well 8 with the new work flow and model....
Published: 11 January 2018
Fig. 6 The Bayes’ theorem idea applied to Well 8 with the new work flow and model. Normalized PDF values are depicted by the color scale in the three-parameter-solution space for (a) prior, (b) likelihood, and (c) posterior. η is in 1/months and q i * is in Mcf/month. [Well 8 is list... More about this image found in The Bayes’ theorem idea applied to Well 8 with the new work flow and model....
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<span class="search-highlight">Bayes</span>’ <span class="search-highlight">theorem</span> as a common starting point for assisted history matching met...
Published: 02 February 2009
Figure 1 Bayes’ theorem as a common starting point for assisted history matching methods. The left route illustrates how the assumptions of a Gaussian priors and a perfect model are needed to arrive at a minimization of a cost function for solving the inverse problem. The right route illustrates h... More about this image found in Bayes’ theorem as a common starting point for assisted history matching met...
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<span class="search-highlight">Bayes</span> <span class="search-highlight">theorem</span> idea applied to well 8 (API #: 42121329920000) with the new w...
Published: 17 May 2017
Figure 6 Bayes theorem idea applied to well 8 (API #: 42121329920000) with the new workflow and model. Normalized probability distribution function values are depicted by the color scale in the 3 parameter solution space for: (a) prior, (b) likelihood, (c) posterior. η is in month -1 and q ... More about this image found in Bayes theorem idea applied to well 8 (API #: 42121329920000) with the new w...
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Journal Articles
J Pet Technol 28 (03): 263–271.
Paper Number: SPE-5328-PA
Published: 01 March 1976
... of the industry as reflected by the bids received. If one accepts this idea of updating the BLM's estimate, it is interesting to ask whether there are ways other than taking a simple average to achieve this result. It is particularly interesting to ask whether it is possible to apply Bayes' theorem...
Proceedings Papers

Paper presented at the 2016 SEG International Exposition and Annual Meeting, October 16–21, 2016
Paper Number: SEG-2016-13781091
... ABSTRACT The product of Young's modulus and density can highlight abnormal characteristic of shale gas reservoirs, Poisson ratio can indicate fluid property. In this paper, the joint PP and PS AVO inversion based on Bayes theorem is used to obtain Young's modulus and Poisson's ratio...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 30–October 3, 2001
Paper Number: SPE-71416-MS
... conditional probabilities, readily extends to any number of layers, and, most importantly, always honors BayesTheorem. As in the earlier paper 1 , the generic form of this model can be applied to prospects in adjoining fault blocks, step-outs, and other forms of multiple targets that should be regarded...
Journal Articles
J Pet Technol 21 (07): 841–852.
Paper Number: SPE-2221-PA
Published: 01 July 1969
...John P. Dowds An English clergyman, the Reverend Thomas Bayes, introduced his theorem of conditional probabilities approximately 200 years ago. It has since become the foundation for solving geologic, engineering, and economic problems by statistical approaches. Introduction Management needs...
Proceedings Papers

Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 20–22, 2015
Paper Number: SPE-176057-MS
... probability. At this level, due to lack of local experience, the outcome can be either optimistic or pessimistic. To prevent this and recognizing the similar technology has been utilized elsewhere to solve similar problem, the industry track record can be combine with local perception via Bayes' Theorem...
Proceedings Papers

Paper presented at the SPE Hydrocarbon Economics and Evaluation Symposium, May 19–20, 2014
Paper Number: SPE-169856-MS
... volumetric models, such as central limit theorem, dependency between model inputs (Bayestheorem), aggregation of volumes, as well as, the use of the standard error of mean, have given consistency to volumetric model outputs. These probabilistic calculations, adjusted to SEC definitions for proved reserves...
Proceedings Papers

Paper presented at the SPWLA 48th Annual Logging Symposium, June 3–6, 2007
Paper Number: SPWLA-2007-UUU
... Bayes Theorem in order to produce probability logs for facies identification. A similar approach is applied in this paper. The objective of this paper is to determine HFU by applying non-linear optimization coupled with the Bayes rule to perform data clustering. Subsequently HFU is inferred in uncored...
Proceedings Papers

Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2998397
... of the wells are extracted and then categorized based upon the total production of the respective well. We then apply Bayes Theorem to get the posterior probabilities for each defined production range. These are then used for a Naïve Bayesian Classifier to accurately predict the production of the remaining...

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