... Abstract The technique of variance simulation is introduced here as all adjunct or an alternative to Monte-Carlo simulation the practical evaluation of outcome distributions in petroleum engineering as a consequence of uncertain inputs. Both methods allow one to establish the probability...

... is performed to model the communication strength coefficient as a function of injector – producer spacing, injection pattern (dip angle), and reservoir permeability-thickness. Monte Carlo technique is then applied to simulate 100 cases prepared using the uniform probability distribution. Afterward...

... Case1: x1 ≤ × ≤ x2 In this case the distribution function will be: Equation (1) x = x 1 + F ( x 3 − x 1 ) ( x 2 − x 1 ) Consider an iterative Monte Carlo simulation that has no upper bound to the number of iterations to be performed...

... by Monte-Carlo simulation to generate probabilistic saturation models for sponge cores. Simulation results indicate the significance of the water salinity parameter in mixed salinity environments, ranging between 20,000 to 150,000 ppm. This varied range of water salinity produces a wide uncertainty...

...SPWLA 62nd Annual Logging Symposium, May 17-20, 2021 DOI: 10.30632/SPWLA-2021-0032 UNCERTAINTY QUANTIFICATION BY MONTE CARLO SIMULATION OF LAB-DERIVED SATURATION DATA FROM SPONGE CORES Mohammed Alghazal and Dimitrios Krinis, Saudi Aramco Copyright 2021, held jointly by the Society...

... failures (e.g., breakouts). ARMA/DGS/SEG International Geomechanics Symposium 20 49 Integrating Monte Carlo Simulation, Machine Learning and Physics-Based Solutions to Estimate In-Situ Stresses Murtadha J. AlTammar and Khalid M. Alruwaili Saudi Aramco, Dhahran, Kingdom of Saudi Arabia Copyright 2020 ARMA...

... Based on Monti Carlo simulation using laboratory measured rock physics data, we studied the effect of seismic anisotropy on the AVO gradient B and compared it with the gas saturation effect on AVO gradient. Our study shows that the former is usually much greater than the latter, and the seismic...

... requirements for severe conditions that are expensive, leading to higher well costs. In this paper, the Monte Carlo Simulation (MCS) method is applied to casing design, where uncertainties in casing loads are considered explicitly by assigning probability distributions to safety factors that affect design...

... Artificial Intelligence reserves evaluation weighting function coefficient machine learning Upstream Oil & Gas Monte Carlo simulation OOIP reservoir simulation estimation point estimate location variance pem method estimates of resource in place resource in place estimate...

...-dominated wells. After that, Monte Carlo simulation is employed to probabilistically estimate the EUR. We constrained the well life by an economical limit or a maximum of 40 years. Bone Springs formation is selected for a field study of this workflow. We found that the LPL is the common current flow regime...

... to the uncertainty and heterogeneities associated with these parameters, but it should be included in an interval and model using appropriate normal, lognormal, or triangular distributions. In this study, uncertainty in multi- layered volumetric reserve estimate was quantified using Monte Carlo simulation for all...

... ABSTRACT Industry research over the last decade has demonstrated the potential for numerical simulation, such as Monte Carlo, to project future corrosion of fixed equipment in refineries and chemical plants. This research has shown the potential for numerical simulation to provide...

... evaluation parameters of shale gas, such as single well recoverable reserves, single well composite cost and gas price. Then, economic benefit of shale gas single well projects was evaluated. Monte Carlo simulation was used to determine the probability distribution of the indexes that influence economic...

... condition monte carlo simulation sensitivity analysis significant wave height offshore wind turbine variation platform design extreme stress means risk management reservoir simulation Sensitivity Analysis of Monopiles Fatigue Stresses to Site Conditions Using Monte Carlo Simulation Ana Gli i...

... obtained during mini-frac tests. Then, an existing correlation is used to estimate MHS by means of Monte Carlo simulation. The estimates calculated from both Monte Carlo simulation and mini-frac data are matched. Finally, vertical and horizontal Biot's constant values are determined for each of the wells...

... reservoir model was adopted for the production data uncertainty assessment to determine the least uncertain space of the cyclic parameters that leads to true optimal solution. In the production uncertainty assessment, the proxy-based Box-Behnken Design and Monte-Carlo simulation approach was adopted...

... environmental conditions are taken into account where there are cases of significant ambient temperature fluctuations. To calculate gas pipeline availability factors, the Monte Carlo system will be used. As defined by Evans and Olson (1998), Monte Carlo simulation involves using statistical probability...

...-dimensional Monte Carlo Simulation. Sensitivity analysis, economic limit analysis and stress analysis are applied to optimize the final results for decision makers. This paper uses a case study to demonstrate the validity and effectiveness of a proposed method for project strategic investment decision making...

... design such as the Box-Behnken (BB) design, with results fitted to a quadratic response surface. An alternative is to use a Latin Hypercube sampling (LHS) based design in a Monte Carlo simulation framework, with results fitted using some advanced regression technique such as multidimensional kriging...

... as inputs for simulation, the priorities of cost items to total cost in sensitivity analysis are acquired after Monte-Carlo simulation by Crystal Ball software. The sensitive coefficient will be applied as the weights of cost items for analysis as in equation (6) . Market Drivers Selecting and Ranking...