Lithofluid
WebAdding Geologic Prior Knowledge to Bayesian Lithofluid Facies Estimation From Seismic Data. Ezequiel F. Gonzalez, Stephane Gesbert & Ronny Hofmann - 2016 - Interpretation: SEG 4 (3):SL1-SL8. Varieties of Justification in Machine Learning. David Corfield - 2010 - Minds and Machines 20 (2):291-301. WebThe LithoFluid Probability process uses Bayesian prediction to calculate probabilities and perform classification using statistical rock physics models. Two volumes are required …
Lithofluid
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WebThe AVO inversion and probabilistic lithofluid classification approach presented in the current paper, is one of the technologies applied to improve the subsurface … WebBased on our geologic understanding of the study area, we have augmented this initial model with lithofluid facies expected in the given depositional environment, yet not …
http://www.rpl.uh.edu/papers/2014/2014_03_Zhao_Probabilistic_lithofacies_prediction.pdf WebABSTRACT We have developed a technique to design and optimize reservoir lithofluid facies based on probabilistic rock-physics templates. Subjectivity is promoted to design possible facies scenarios with different pore-fluid conditions, and quantitative simulations and evaluations are conducted in facies model selection. This method aims to provide …
WebAbstract Exploring hydrocarbon in structural-stratigraphical traps is challenging due to the high lateral variation of lithofluid facies. In addition, reservoir characterization is getting more obscure if the reservoir layers are thin and below the seismic vertical resolution. Our objectives are to reduce the uncertainty of reserve estimation and to predict hydrocarbon … WebAbstract Mapping facies variations is a fundamental element in the study of reservoir characteristics. From identifying a pay zone to estimating the reservoir capacity, a hydrocarbon field’s development plan depends to a great extent on a reliable model of lithofacies and fluid content variations throughout the reservoir. The starting point usually …
WebThe LithoFluid Probability process uses Bayesian prediction to calculate probabilities and perform classification using statistical rock physics models. Two volumes are required with content matching the data in the statistical model (e.g. Acoustic Impedance and Vp/Vs, mu*Rho and lambda*Rho).
WebAfter training different MLs on the designed lithofluid facies logs, we chose a bagged-tree algorithm to predict these logs for the target wells due to its superior performance. This … pop strongworldWeb28 mei 2024 · We have applied this approach to two different hydrocarbon (HC) fields with the aim of predicting the HC-bearing units in the form of lithofluid facies logs at different … pop stroke wesley chapel menuWebAfter training different MLs on the designed lithofluid facies logs, we chose a bagged-tree algorithm to predict these logs for the target wells due to its superior performance. This algorithm predicted HC units in an accurate interval (above the HC-fluid contact depth), and it showed a very low false discovery rate. popstroke west palm beachWeb1 jun. 2015 · Scatter matrix of (a) I P and (b) V P /V S for lithofluid class 2. We can now use this information to create a brand-new synthetic data set that will replicate the average behavior of the reservoir complex and at the same time overcome typical problems when using real data such as undersampling of a certain class, presence of outliers, or … popstudio githubWhat I do first is calculate a lithofluid-class log (LFC) in which I separate groups of data identified by similar lithologic and/or pore-fluid content. The values of the LFC log will be assigned following these rules: First I need to create the “flag” logs brine_sand, oil_sand, gas_sand and shale (these are logs … Meer weergeven To handle well-log data, I use a Python library called Pandas, which makes it very easy to manage and inspect large, complex data … Meer weergeven In this tutorial, we have laid the foundations for the real work. In * Part 2, we will look at applying Gassmann's equation to our logs to perform fluid-replacement … Meer weergeven popstroke wesley chapel tampashark bait full movie the reef 123moviesWeb12 jun. 2024 · Keynejad et al. (2024) apply probabilistic neural networks (PNNs) and bagging trees to seismic attributes to predict lithofluid facies and confirm their higher … pops trophies