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Disjunctive Optimization Model for the Production Planning and Blending of Crude Oil in a Conventional Oil Field
Version 2 2018-01-05, 16:22
Version 1 2018-01-04, 14:04
journal contribution
posted on 2017-12-15, 00:00 authored by Ana C. Duckwen, M. Susana Moreno, Daniel O. Borio, J. Alberto BandoniThis work presents a multiperiod
nonlinear formulation based on
generalized disjunctive programming (GDP) that integrates the production
planning and pooling problems in a conventional onshore oil reservoir
with fixed topology and a surface interconnection scheme. The model
optimizes the well production and blending decisions, while complying
with product specifications, such as the sulfur content required by
refineries downstream of the oil field. It considers wells from different
reservoirs belonging to a given oil field, which are interconnected
through manifolds at a network of pipes. The nonlinear behavior of
well pressure as a function of time and bilinearities in mass balances
are also taken into account. The objective function maximizes the
accumulated production of the end products. Numerical results show
that obtaining end products as result of blending operations is affected
by production planning in wells, the capacity of intermediate tanks,
and sulfur specification.