Molecular dynamics simulations in reservoir analysis of offshore petroleum reserves: A systematic review of theory and applications

摘要

Production from offshore reservoirs has contributed significantly to supply required hydrocarbons in the past several decades. The world's ever-growing energy demand has made the industry extend exploration and production activities to much deeper waters and harsher offshore environments. However, development of offshore reservoirs is a challenging task, and the role of efficient and reliable reservoir characterization tools in successful offshore developments cannot be overstated. Reservoir analysis in terms of determination of the properties of rock and fluids and their interactions constitutes a major part of reservoir characterization. Traditionally, laboratory tests and measurements are considered the most reliable characterization approach. However, in many cases, reservoir rock and fluid samples might be unavailable or insufficient for all the required tests and measurements. Empirical correlations and theoretical relationships can be employed in the absence of or to augment experimental data. However, characteristic predictions obtained from this deterministic strategy can be highly uncertain due to sensitivity to the property ranges, oversimplifying assumptions, and local variations of properties in heterogeneous reservoirs. Various forms of connectionist techniques have recently been used as an alternative method for property predictions with higher accuracy and reliability. Yet, their applications have been mostly limited to research studies rather than industrial projects. Recently, Molecular Dynamics (MD) simulations have gained considerable attention in studying reservoir rock and fluid properties, interactions, and associated phenomena at the atomic level. In MD, the properties of interest are extracted from the analysis of time evolution of atomic positions and velocities by numerical solution of Newtonian equations for the motion of all the atoms in the system. This technique facilitates performing "computer experiments" that may otherwise be imposs