Geostatistical modeling of reservoir properties is common in the assessment of expected reservoir flow. Typically, static properties such as porosity, saturation and permeability are modeled with geostatistical techniques to quantify the level of uncertainty in reservoir characterization. Lately, practitioners have become concerned that purely statistical techniques do not sufficiently integrat...

Carbon capture and storage (CCS) has been increasingly looking like a promising strategy to reduce CO2 emissions meet the Paris agreement’s climate target. To ensure that CCS is safe successful, an efficient monitoring program will prevent reservoir leakage drinking water contamination in groundwater aquifers must be implemented. However, geologic sequestration (GCS) sites are not completely ce...

Much of the difficulties in characterizing complex reservoirs are related to the uncertainty associated with seismic interpretation. In this project, we examine two such sources: uncertainty in the velocity model, and ambiguities with expert interpretation due to conceptual geological uncertainty of reservoir structure. We address the first issue by presenting a geostatistical method for genera...

Sedimentological processes often result in complex three-dimensional subsurface heterogeneity of hydrogeological parameter values. Variogram-based stochastic approaches are often not able to describe heterogeneity in such complex geological environments. This work shows how multiple-point geostatistics can be applied in a realistic hydrogeological application to determine the impact of complex ...

Geological survey organisations (GSOs) are established by most nations to provide a geoscience knowledge base for effective decision-making on mitigating the impacts of natural hazards and global change, and on sustainable management of natural resources. The value of the knowledge base as a national asset is continually enhanced by exchange of knowledge between GSOs as data and information pro...

Recent research has suggested that changes in temperature and precipitation events due to climate change have had a significant impact on the availability and timing of streamflow. In this study, monthly temperature and precipitation data collected over 29 climate divisions covering the entire Colorado River basin and monthly natural flow data from 29 U.S. Geological Survey (USGS) gauge locatio...

Complexities of geological processes portrayed as certain feature in a map (e.g., faults) are natural sources of uncertainties in decision-making for exploration of mineral deposits. Besides natural sources of uncertainties, knowledge-driven (e.g., fuzzy logic) mineral prospectivity mapping (MPM) is also plagued and incurs further uncertainty in subjective judgment of analyst when there is no r...