2012
DOI: 10.1016/j.conengprac.2011.11.009
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Process control in conventional oil and gas fields—Challenges and opportunities

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Cited by 53 publications
(30 citation statements)
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“…Conventionally, a multi-level hierarchy is used to organize the optimization of petroleum systems, where each level involves optimization of some objective over different decision horizons (Foss, 2012). The problem we study in this paper is shut-in based optimization of shale-gas wells over horizons spanning from weeks to a couple of months.…”
Section: Formulation Of the Production Optimization Problemmentioning
confidence: 99%
See 1 more Smart Citation
“…Conventionally, a multi-level hierarchy is used to organize the optimization of petroleum systems, where each level involves optimization of some objective over different decision horizons (Foss, 2012). The problem we study in this paper is shut-in based optimization of shale-gas wells over horizons spanning from weeks to a couple of months.…”
Section: Formulation Of the Production Optimization Problemmentioning
confidence: 99%
“…Hence, the problem is categorized as a short to midterm production optimization problem. These problems typically aim at maximizing daily production rates or keeping production at some prespecified target or reference rate (Foss, 2012). Due to a large number of wells producing to a shared processing and control unit, cf.…”
Section: Formulation Of the Production Optimization Problemmentioning
confidence: 99%
“…This work is focused on the control and automation layer of a multi-level offshore control hierarchy (Foss, 2012) and on the production optimization layer. Our suggested control structure is represented in Figure 2.…”
Section: Closed-loop Controlmentioning
confidence: 99%
“…Moreover, physical-based models are also considered as data generators and as basis for simulations and simulator development. The utilization of data based models could reduce the level of uncertainty and provide means for prediction of information, handling of large data loads, as well as fusing of data from different sources (Foss, 2012).…”
Section: Online Risk Management Frameworkmentioning
confidence: 99%