The state of the art for optimal water reservoir operations is rapidly evolving, driven by
emerging societal challenges. Changing values for balancing environmental resources …

The last twenty years have brought significant advances in hydrology and hydrogeology,
especially in the area of data availability and predictive modeling capabilities. Remote …

Representing the reservoir as a network of discrete compartments with neighbor and non-
neighbor connections is a fast, yet accurate method for analyzing oil and gas reservoirs …

Previous studies have shown that geostatistics-based transient hydraulic tomography (THT)
is robust for subsurface heterogeneity characterization through the joint inverse modeling of …

In contrast to management optimisation methods, which quantify decision variables to create
plans, this study does not seek the “best” strategy. Instead, it simulates the sequential …

Closed-loop field development (CLFD) optimization is a comprehensive framework for
optimal development of subsurface resources. CLFD involves three major steps: 1) …

It can be expensive and difficult to collect direct bathymetry data for nearshore regions,
especially in high-energy locations where there are temporally and spatially varying …

Subsurface geological models are usually constructed on high-resolution grids in a way that
various complexities and heterogeneities are depicted properly. Such models, however …

Monte Carlo (MC) simulations of transport in random porous networks indicate that for high
variances of the lognormal permeability distribution, the transport of a passive tracer is non …

With recent advances in environmental monitoring technology and remote sensing
capabilities for data collection continually increasing, interest in data assimilation techniques …