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Keywords: objective function
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Proceedings Papers

Paper presented at the SPE Europec, December 1–3, 2020
Paper Number: SPE-200578-MS
... data types was done for oil fields by using an overall objective function combining all deviations of observed from simulated data into either a single objective function or multiple objective functions addressing the different observed data sources (e.g. Ferraro and Verga 2009 , Hajizadeh et. al...
Proceedings Papers

Paper presented at the SPE Europec, December 1–3, 2020
Paper Number: SPE-200607-MS
... artificial lift system gas lift calculation energy efficiency chemical exergy exergy gas injection objective function potential exergy production system Exergy analysis ESP system society of petroleum engineers physical exergy emission production control production monitoring water cut...
Proceedings Papers

Paper presented at the SPE Europec, December 1–3, 2020
Paper Number: SPE-200620-MS
... function, saturation data (of gas storage observation wells) on the contrary need some specific pre-processing steps to end-up with selective enough objective function formulation. An efficient pre-processing is proposed to tackle this saturation matching criteria. Advanced experimental design...
Proceedings Papers

Paper presented at the SPE Europec, December 1–3, 2020
Paper Number: SPE-200653-MS
... Artificial Intelligence Midstream Oil & Gas formulation 1 pipeline formulation Upstream Oil & Gas riser corrosion objective function flow schedule configuration pipeline system fluid modeling materials and corrosion elevation economic value equation optimization formulation pipeline...
Proceedings Papers

Paper presented at the SPE Europec featured at 81st EAGE Conference and Exhibition, June 3–6, 2019
Paper Number: SPE-195490-MS
... an active CO 2 flood data to attain a successful history matched model. Uncertain parameters such as reservoir rock properties and relative permeability exponents were adjusted to incorporate potential changes in wettability in our history matched model. To optimize the objective function which...
Proceedings Papers

Paper presented at the SPE Europec featured at 81st EAGE Conference and Exhibition, June 3–6, 2019
Paper Number: SPE-195542-MS
... square, which is widely used for production data matching. Distance measurement based objective functions designed for 4D image comparison have been explored in recent years and has been proven to be reliable. This study explores history matching process by introducing a merged objective function...
Proceedings Papers

Paper presented at the SPE Europec featured at 80th EAGE Conference and Exhibition, June 11–14, 2018
Paper Number: SPE-190776-MS
... misfit history matching rms objective function convergence optimisation algorithm reservoir simulation misfit History algorithm parameterisation method parameterisation search space three-stage hybrid algorithm Oil and gas reservoirs models are created to analyse the behaviour of the...
Proceedings Papers

Paper presented at the SPE Europec featured at 80th EAGE Conference and Exhibition, June 11–14, 2018
Paper Number: SPE-190767-MS
... solutions. HM can be treated following either a deterministic or a probabilistic approach. Under the deterministic approach, the HM process is formulated as a minimization problem, by which one seeks minimizing an objective function (difference between simulation output and observed data) and finds one...
Proceedings Papers

Paper presented at the SPE Europec featured at 80th EAGE Conference and Exhibition, June 11–14, 2018
Paper Number: SPE-190788-MS
... results obtained indicate that we can minimize the difference of average pressure between regions while achieving high values of NPV. This helps to have a uniformly distributed reservoir pressure throughout the production life of the reservoir. Artificial Intelligence objective function white...
Proceedings Papers

Paper presented at the SPE Europec featured at 80th EAGE Conference and Exhibition, June 11–14, 2018
Paper Number: SPE-190842-MS
... production designs and strategies through the maximisation or minimisation of one or more quantitative physical or economical objective functions ( Chen et al. 2015 ). These methods are generally computational demanding, as full reservoir simulation must be repeated for many different well layouts and...
Proceedings Papers

Paper presented at the SPE Europec featured at 80th EAGE Conference and Exhibition, June 11–14, 2018
Paper Number: SPE-190804-MS
... inadequate to evaluate the BT misfit. We, therefore, introduced the AE , which is a deterministic time interval, instead of a value defined through the historical data. Abstract This paper proposes new objective functions to assimilate dynamic data for history matching, and evaluates their influence...
Proceedings Papers

Paper presented at the SPE Europec featured at 79th EAGE Conference and Exhibition, June 12–15, 2017
Paper Number: SPE-185837-MS
... generate the attributes with spatial variation, while the discrete attributes are treated according to their particularities and discretized in levels of uncertainty. The probability of each attribute is also assigned in this step. Then, we define the tolerance ranges of each objective function (OF) to...
Proceedings Papers

Paper presented at the SPE Europec featured at 79th EAGE Conference and Exhibition, June 12–15, 2017
Paper Number: SPE-185835-MS
... following steps: (1) Statistical design to perform a sensitivity analysis of the objective functions; (2) Statistical design to obtain the response surface; (3) Statistical validation through analysis of variance (ANOVA); (4) Consistency check of proxies with the simulator outputs; (5) Latin Hypercube...
Proceedings Papers

Paper presented at the SPE Europec featured at 79th EAGE Conference and Exhibition, June 12–15, 2017
Paper Number: SPE-185813-MS
... identifying the poor sweep efficiency areas. In a later optimization exercise, a dry oil production objective function was maximized subject to the constraints in the injection system. Thus, strategies derived from CRM model increased production in the range of 12% with associated water cut reduction just by...
Proceedings Papers

Paper presented at the SPE Europec featured at 79th EAGE Conference and Exhibition, June 12–15, 2017
Paper Number: SPE-185877-MS
... are discussed. reservoir simulation posterior distribution global sensitivity analysis probability map Artificial Intelligence objective function production data saturation machine learning Upstream Oil & Gas contribution ensemble society of petroleum engineers sensitivity...
Proceedings Papers

Paper presented at the SPE Europec featured at 78th EAGE Conference and Exhibition, May 30–June 2, 2016
Paper Number: SPE-180084-MS
... many operational parameters that could have significant ramifications for oil recovery and CO 2 storage were not examined. This paper presents a full field numerical based optimization model under uncertainty with a multi-objective function to improve oil recovery and CO 2 storage within FWU...
Proceedings Papers

Paper presented at the SPE Europec featured at 78th EAGE Conference and Exhibition, May 30–June 2, 2016
Paper Number: SPE-180106-MS
... with a perspective of a consistent feedback loop from history matching to geological modeling. geologic modeling Artificial Intelligence Reservoir Characterization machine learning geological modeling reservoir simulation mcmc sensitivity optimization problem objective function...
Proceedings Papers

Paper presented at the SPE Europec featured at 78th EAGE Conference and Exhibition, May 30–June 2, 2016
Paper Number: SPE-180148-MS
... used in an inversion calculation to calibrate reservoir model parameters. The analytic sensitivity coefficients of well test derivative with respect to reservoir properties are derived and incorporated into the objective function to perform inverse modeling. The key to formulating the sensitivity...
Proceedings Papers

Paper presented at the SPE Europec featured at 78th EAGE Conference and Exhibition, May 30–June 2, 2016
Paper Number: SPE-180094-MS
... information production strategy assimilation field development cycle 1 objective function EMV porosity map Schiozer As oil field development is high risk and requires high investment, uncertainty assessment is crucial to help decision-making processes by quantifying economic outcome. Economic...
Proceedings Papers

Paper presented at the SPE Europec featured at 78th EAGE Conference and Exhibition, May 30–June 2, 2016
Paper Number: SPE-180177-MS
... about a hundred of classes. Using this approach, it is only needed to optimize the position of the model into the matrix with two parameters in addition to the dynamic parameters. This method then reduces the number of optimized parameters from a hundred to ten. The objective function to be optimized...

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