Optimization of an Oil and Gas Separation Plant for Different Reservoir Fluids Using an Evolutionary Algorithm

Abstract

The optimization of an oil and gas separation plant operating revenue has been performed for different characteristic reservoir fluid types (gas condensate, volatile oil and black oil) using an evolutionary algorithm. A process simulation model mimicking a typical plant has been used as a black-box model and optimized with respect to nine design variables using the CMA-ES algorithm. The plant studied has three separation stages, including gas re-compression for each stage as well as a final gas boosting step before export. Each compression stage includes gas cooling and partial condensation

Evaluation of an Open-source Chemical Process Simulator Using a Plant-wide Oil and Gas Separation Plant Flowsheet Model as Basis

“…Using an open source simulator as DWSIM, which is cross platform and can be deployed unlimited on compute nodes, this is now realizable. An open source process simulator can also enable global flowsheet optimization studies from brute-force [34] to evolutionary algorithms, which require a high number of flowsheet evaluations from 1,000-100,000 flowsheet evaluations often taking excessive time to converge [27,35,36]. Such studies may need long running times and would otherwise utilize a substantial amount of an available license pool, limiting other work.…”

“…To further test DWSIM beyond a single converged simulation state, a parametric study is set up, exploring similarities and differences over a wider range of parameter settings. In order to efficiently conduct the parametric study in both DWSIM and HYSYS, a python wrapper is made for both simulation tools in a similar fashion as previous studies [19,26,27]. The parametric study is made by random/Monte Carlo sampling using the lhsmdu [28,29] package over 10 independent variables/factors.…”

Unveiling the revolutionary role of nanoparticles in the oil and gas field: Unleashing new avenues for enhanced efficiency and productivity

“…The occurrence of flashing may result in the generation of fuel gas that can be utilized for the purpose of facilitating refinery operations [ 295 ]. Insufficient stabilization of crude upstream may lead to an excessive amount of flashing, ultimately resulting in increased flaring and environmental damage [ 293 , 296 , 297 ].…”

Optimisation of carbon capture from flue gas from a Waste-to-Energy plant using surrogate modelling and global optimisation

“…A black-box wrapper is made in Python exposing the process simulation as an object which can be called like a regular function, taking the seven factors/variables as input, and returning the desired output when the simulation has converged. A similar black-box approach has been used by others [31,[33][34][35][36] using either VBA, python or Matlab/Octave as programming layer. For each sample in the sampling plan a corresponding simulation is made and the results recorded.…”