2021
DOI: 10.1016/j.compchemeng.2020.107179
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Tuning of oil well models with production data reconciliation

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Cited by 8 publications
(4 citation statements)
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“…The geological and mineralogical data of depleted oil and gas reservoirs are already known from well-logging and drilled cuttings . Furthermore, a great deal of information relative to behavior depleted oil reservoirs could be available to plan and design the feasibility of H 2 storage . Additionally, it has been evaluated that one giant depleted gas field can sustain sufficient seasonal H 2 storage capacity for most of the countries around the globe.…”
Section: Review Of H2 Geological Storage In Depleted Oil/gas and Sali...mentioning
confidence: 99%
See 1 more Smart Citation
“…The geological and mineralogical data of depleted oil and gas reservoirs are already known from well-logging and drilled cuttings . Furthermore, a great deal of information relative to behavior depleted oil reservoirs could be available to plan and design the feasibility of H 2 storage . Additionally, it has been evaluated that one giant depleted gas field can sustain sufficient seasonal H 2 storage capacity for most of the countries around the globe.…”
Section: Review Of H2 Geological Storage In Depleted Oil/gas and Sali...mentioning
confidence: 99%
“…117 Furthermore, a great deal of information relative to behavior depleted oil reservoirs could be available to plan and design the feasibility of H 2 storage. 118 Additionally, it has been evaluated that one giant depleted gas field can sustain sufficient seasonal H 2 storage capacity for most of the countries around the globe. For example, the North Sea Lemen field in the U.K. has 833 TWh storage capacity, which is sufficient to fulfill the entire seasonal energy demand.…”
Section: Review Of H 2 Geological Storage Inmentioning
confidence: 99%
“…The model was developed based on real plant data and data reconciliation was performed via optimization internal to the simulation environments. Seman et al utilized data reconciliation for the tuning of oil well models [76]. With the proposed methodology, automatic steady-state detection and re-estimating of chosen parameters reflect the current operating conditions.…”
Section: Data-driven Methodsmentioning
confidence: 99%
“…During the same period, numerous interesting research studies were published in world literature concerning both general principles involving the application of data validation and reconciliation [11,12,14,[26][27][28][29][30] as well as its application for solving more specific problems. For example, they were presented in the publications covering the problems of nuclear power plants [31][32][33], chemical industry [34][35][36][37][38][39][40], power plants and combined heat and power plants [41][42][43][44][45][46], refrigeration [47], and biotechnology [48].…”
Section: Introductionmentioning
confidence: 99%