... and placement of multilateral wells is modeled using the Graph Theory principles and is optimized using Mixed Integer Programming (MIP) algorithms. The objective function is defined in this work as maximization function of the Total Contact with Sweetspots (TCS). At first, multiple main wellbores are optimized...

..., the standard history matching process is based on the minimization of a single objective function (history matching criteria), computed through weighted least squares formulation. The difficulty is then to (user) define properly the weight of each data set before the summation itself into the single objective...

... combinations of the model comply with various observed data, Machine Learning can be applied. After defining multiple Objective Functions (OF) covering the different observed data (here six different Objective Functions), we used the Random Forest algorithm to generate statistical models for each...

... for efficient solution. We demonstrate our approach on a realistic case study based on a pipeline system in the United States. Reservoir Surveillance Upstream Oil & Gas production control production logging constraint objective function production monitoring optimization problem feasibility...

... for progress by developing the exergy approach and digital tools for the selection and development of greener and more profitable production concepts, processes, and technologies. Artificial Intelligence Upstream Oil & Gas different artificial lift gas injection objective function energy...

...). Conventionally, the formulation used for the misfit is least 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...

... of 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...

... activities for the exploration and development of high geothermal energy in fractured reservoirs, a method has been developed to optimise well layouts (location and depth) based on geothermal reservoir production performance criteria (objective functions). Objective functions such as available thermal exergy...

... Abstract This paper proposes new objective functions to assimilate dynamic data for history matching, and evaluates their influence on the uncertainty conditioning. Representative events are observed and evaluated separately for the available dynamic data. The proposed objective functions...

... at solving the inverse problem by reducing a misfit or objective function that defines the difference between simulated and production data. The main challenges of optimisation are local minima solutions and premature convergence. The success of optimisation is greatly dependent on the parameterisation...

... optimization regional pressure balance society of petroleum engineers Upstream Oil & Gas well placement optimization average pressure pressure difference Artificial Intelligence objective function white circle represent injector black circle represent producer constraint NPV reservoir...

... with several uncertainties, indicating good potential for application in other fields. The matching quality was better than in previous approaches. reservoir simulation Campos Basin flow in porous media objective function uncertainty reduction History Reservoir Characterization Upstream Oil...

... the 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...

... with uncertainty reduction as a systematic and iterative process for obtaining a set of reservoir models that honors dynamic data in a complex field case. The methodology is an iterative process that simultaneously matches different objective functions, one for each well production profile. The procedure uses a re...

... 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...

.... In conclusion practical consequences and best practices as well as the use of data analytics in history matching workflows are discussed. reservoir simulation Artificial Intelligence posterior distribution objective function global sensitivity analysis probability map production data society...

... sensitivity sensitivity calculation workflow design optimization problem parameter update objective function information prediction candidate society of petroleum engineers clean base case adjoint technique base case analytical sensitivity calculation Introduction In reservoir management...

... the effect of recycling produced gas, infill drilling and water alternating gas (WAG) cycles on oil recovery and CO 2 storage. A multi objective function that considers both oil recovery and CO 2 storage was defined. Initial sensitivity analysis using a Latin-hypercube sampling technique was used to study...

... parameters from a hundred to ten. The objective function to be optimized contains two or three sub-objective functions like well pressure, gas column thickness and water production history-matching errors. We can combine all objectives into one in order to perform mono-objective optimization, but the best...

... may be directly related to the well test derivative which may be 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...