...The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024 Improved Data-Driven Method for the Prediction of Elastic Properties in Unconventional Shales from SEM Images Sai Kiran Maryada1, Deepak Devegowda1, Mark Curtis1, Chandra Rai1 1. University of Oklahoma, Norman, Oklahoma...

...The 29th Formation Evaluation Symposium of Japan, September 12-13, 2024 Application of Bagging Ensemble Machine Learning Models to Predict Porosity of Sandstone Formations Using Well Log Data Kushan Sandunil 1, Ziad Bennour 1, Saaveethya Sivakumar 1, Hisham Ben Mahmud 2 and Ausama Giwelli 3, 4 1...

... permeabilities were distributed to follow normal distribution patterns for the end point and curvature values. Next, to ensure the consistency in predicted reservoir behavior between fine grid and coarse grid models, the absolute and relative permeabilities of coarse grid models were optimized using...

... based on the existing legacy data set and the newly acquired cased hole pulse neutron spectroscopy data. Some best practices in data training, model prediction and validation and uncertainty management will be also highlighted. Few wells with complete log data set were used as training input to predict...

... challenges is to understand and characterise reservoir complexity and heterogeneity, with permeability being one of the key factors in understanding sweep behavior and predicting production and injection rates. Rumaila has extensive surveillance programs and production and saturation logs are used to refine...

... to disregard the effect of uncertainty in the covariance structure on subsequent predictions. To overcome the restrictions of unbiased prediction in conventional approaches, Bayesian Kriging has been recently suggested to take into account the uncertainty about variogram parameters on subsequent predictions...

.... flow in porous media Fluid Dynamics well logging drillstem/well testing Drillstem Testing forecasting log analysis Upstream Oil & Gas heterogeneity prediction reservoir heterogeneous gas reservoir high overbalance mobility correlation formation testing productivity evaluation...

... College 2. University of Miskolc This paper was selected for presentation by a JFES program committee following review of an abstract submitted by the author(s). ABSTRACT Core permeability modeling as a function of well logging data is a crucial issue to obtain accurate prediction for the same well...

...-Based clustering method, to produce detailed electrofacies models, focusing on honouring the rock fabric and pore distribution in the reservoir. These detailed electrofacies models constructed were then calibrated with core data, allowing to predict permeabilities on sections of the well not covered...

... are persistent, such that drilling costs as high as USD 100 million (as of 2014) are not uncommon. This study reviews the distinct geological nature of overpressure characteristics in the deepwater fold-thrust belt of Sundaland continental margin, SE Asia, and then subsequently presents a better PP prediction...

... suitable with these sensitive cases in order to perform accurate prediction. The lasso and generalized additive model have been considered in this paper as an efficient tools to model and predict the formation permeability given other well logs data for a well in sandstone reservoir in South Rumaila oil...

... Abstract The use of computational intelligence techniques has become increasingly popular in the field of geosciences. Artificial intelligence models are extremely useful for reservoir characterization, which requires high accuracy prediction for a good exploitation of the oil and gas...

... Abstract Prediction of formation water saturation can be achieved through capillary pressure data in saturation-height modeling. The LSMPQS (Level Set Method Progressive Quasi Static) method is the newest numerical simulation which is basically utilized for determining critical curvatures...

... of a kick/loss scenario. In both instances the depth uncertainty of the surface seismic was +/-50m although the final completions design for the final hole section in 8 ½ inch hole was based on a +/- 20m tolerance. Hence getting accurate depth predictions ahead of the bit was vitally important...

... formulation was derived for determining the irreducible wetting phase saturation for the cases with no NMR log data in which resistivity-based water saturation (Swt) can be in check with for more realistic prediction/determination of dry or wet production. Simplification and re-arrangement...