Quantum computer-assisted global optimization in geophysics illustrated with stack-power maximization for refraction residual statics estimation

Much of recent progress in geophysics can be attributed to the adaptation of heterogeneous high-performance computing architectures. It is projected that the next major leap in many areas of science, and hence hopefully in geophysics too, will be due to the emergence of quantum computers. Finding a right combination of hardware, algorithms, and...

Robust multi-objective field development optimization for the mariner asset

In this paper we present our results, challenges and learnings, over a two-year period wherein robust multi-objective optimization was applied at the Mariner asset which is being currently developed. Many different problems were solved with different objectives. These problems were formulated based on the phases of planning and development at...

Ensemble-based methods for well drilling sequence and time optimization under uncertainty

One of the main activities in the (re-)development of large hydrocarbon fields is the drilling of new wells. The drilling process may involve a large number of wells and take several years to complete. Challenges include the selection of a limited set of wells from many possible well paths, and the scheduling of the drilling itself....

Ensemble based multi-objective production optimization of smart wells

In a recent study two hierarchical multi-objective methods were suggested to include short-term targets in life-cycle production optimization. However this previous study has two limitations: 1) the adjoint formulation is used to obtain gradient information, requiring simulator source code access and an extensive implementation effort, and 2)...

Optimal control and design of a cold store using dynamic optimization

The design of controlled processes is a combined optimal control and design problem (OCDP). Literature on solving large OCDPs is rare. This paper presents an algorithm for solving large OCDPs. For this algorithm system dynamics, objective function and their first-order derivatives must be continuous in the state, control and design parameters....

Model-reduced variational data assimilation for reservoir model updating

Variational data assimilation techniques (automatic history matching) can be used to adapt a prior permeability field in a reservoir model using production data. Classical variational data assimilation requires, however, the implementation of an adjoint model, which is an enormous programming effort. Moreover, it requires the results of one...