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Skip to Search Results- 3Hasan, Md Monjurul
- 3Kostic, Branislav Z
- 3Yu, Miao
- 2Afifi, Mona
- 2Altaf, Mohammed Sadiq
- 2Alwisy, Aladdin
- 31Al-Hussein, Mohamed (Civil and Environmental Engineering)
- 25Deutsch, Clayton (Civil and Environmental Engineering)
- 23AbouRizk, Simaan (Civil and Environmental Engineering)
- 20Chalaturnyk, Rick (Civil and Environmental Engineering)
- 20Liu, Yang (Civil and Environmental Engineering)
- 18Bayat, Alireza (Civil and Environmental Engineering)
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Fall 2023
In general, less than one billionth of the volume of a deposit is sampled before production decisions. The grades and other rock properties are estimated in the unsampled volume. The success of a mine is dependent on accurate grade control. The grade control process establishes the final planned...
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Fall 2014
Geostatistical modeling in presence of extreme values needs special attention. Certain extreme high values known as outliers require proper treatment or mineral resources may be overstated. A number of methodologies are proposed in this thesis to identify and manage outliers. The main goal of the...
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Fall 2010
A challenge in petroleum geostatistics is the application of modeling algorithms such as Gaussian simulation to unstructured grids that are being used for flow simulation. Geostatistical modeling is typically applied on a fine scale regular grid and then upscaled to the unstructured grid. This...
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Geostatistical Reservoir Modeling with Parameter Uncertainty in Presence of Limited Well Data
DownloadSpring 2017
An important challenge in reservoir management is establishing reliable numerical geological models of all required flow parameters including facies, porosity and permeability. These numerical models are driven by conceptual geology, seismic, production and well data that are widely spaced early...
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Spring 2018
This thesis addresses challenges in geostatistical analyses of multivariate geochemical data that commonly contain complexities that have a significant influence on geostatistical modeling and cluster analysis. For geostatistical modeling, the effect of the most common despiking methods is...
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Spring 2013
A common problem in naturally fractured reservoirs (NFRs) is a lack of data caused by few wells; or at least, few wells with core or borehole images. Secondary data (such as seismic) can be used to improve predictions of fracture intensity in between the wells. Common geostatistical techniques...
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Spring 2010
Many geological deposits contain nonlinear anisotropic features such as veins, channels, folds or local changes in orientation; numerical property modeling must account for these features to be reliable and predictive. This work incorporates locally varying anisotropy into inverse distance...
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Fall 2010
In Geostatistical modelling of the spatial distribution of rock attributes, the multivariate distribution of a Random Function defines the range of possible values and the spatial relationships among them. Under a decision of stationarity, the Random Function distribution and its statistics are...