... the mean and standard deviation of each well's production data. The mean and standard deviation were both scaled to aid in building these distributions. We then aim to understand the relationship between the categories of the CR and PR (1C, 2C, 3C, and 1U, 2U, and 3U, respectively). To do this, we...

... repeatability and reproducibility in terms of standard deviations in accordance with ISO 5725-2. Uncertainty of measuring the ISO long-term conductivity of proppants was calculated in accordance with ISO 21748. The evaluation shows that conductivity and permeability values of ceramic proppant and natural sand...

... prediction variability displacement rate heat transfer standard deviation prediction lower rate temperature prediction Introduction In a certain regions, there can be field developments with well installations in a given field ranging from several hundred to thousands in an effort to achieve...

... fracture gradient data mining directional drilling classification model sand concentration gradient obstruction standard deviation tortuosity operator deformation Introduction From a very early stage in field planning, the operator of this study attempted to identify and reduce risks...

... point accuracy outlier sensor gradient water cut measurement accuracy dataset society of petroleum engineers neural network flow rate mpfm confidence interval standard deviation Introduction Data coming from the oil and gas fields are employed in multiple applications: they are used...

... coefficient yarranton api 20 dataset heavy oil reference viscosity viscosity cross plot Artificial Intelligence correlation average relative error predictive capability Standard Deviation society of petroleum engineers If we have a viscosity at Tres, how can we get a very accurate estimate...

... such as CAPEX, OPEX, interest rate, efficiency feedstock price, etc., and their level of influence on each economic performance benchmarks were analyzed. Monte Carlo simulation was used to carry out sensitivity analysis in each case to assess the mean and standard deviation of each economic performance metric...

.... log analysis machine learning detector Upstream Oil & Gas porosity correlation well logging cement basin Artificial Intelligence Argentina resistivity TOC elemental concentration spectroscopy lithology evaluation information saturation Bajo Barreal Formation Standard Deviation...

... correlation that might exist between the errors at each observed trace. Accordingly, the data covariance matrix will be just a diagonal matrix as shown in Eq. 10 with standard deviation per each observed trace is given as follows: (18) σ S i = E r r D a t a ∗ S i 3...

... geological modeling Bayesian Inference machine learning reservoir simulation local variation data detection range uncertainty characterization Standard Deviation coarse uncertainty characterization formula correction factor characterization covariance Upstream Oil & Gas objective function...

... result manufacturer stress level statistical analysis perforator correlation porosity testing facility Standard Deviation society of petroleum engineers Introduction Since its genesis as API RP 43 (1962) , five editions of this recommended practice were published, with the last issued...

... Upstream Oil & Gas formula pipe expansion casing design strength collapse performance statistical analysis Standard Deviation equation expansion mode data regression Bauschinger effect wall thickness hoop residual stress residual stress stress-strain curve Introduction...

... field test accuracy requirement pitch angle Standard Deviation Introduction Wellbore surveying has been around in one form or another for over a hundred years and its aims have changed little in that time. Placing a well in the reservoir while avoiding other wells is still the key...

... flooding heterogeneity measure society of petroleum engineers statistics grid oil recovery factor workflow surfactant-polymer flooding Standard Deviation coarse grid fine-scale heterogeneity Introduction Chemical enhanced oil recovery (CEOR) is a technique aimed at increasing oil recovery...

... porosity shale gas Standard Deviation shale reservoir porosity reservoir property kerogen equation reservoir well logging measurement noise shale tight oil reservoir hydrocarbon light hydrocarbon Fourth, organic shales have very small pore and grain sizes. Inter/intraparticle pore sizes...

... a single forecast result for a key performance indicator F(m) but its average value, Avg(F) , and standard deviation, Std(F) , (1) A v g ( F ) = 〈 F 〉 = ∫ D m P p r i o r ( m ) F ( m ) ,   S t d ( F ) = 〈 F 2 〉 − 〈 F 〉 2...

... iteration URF well location rwlo algorithm realization Optimization Method placement Standard Deviation well placement ensemble optimal well location Introduction Oil-rim reservoirs are typically wedged between a gas cap at the top and an aquifer at the bottom. However, they can...

... permeability hydraulic tortuosity Modeling & Simulation correlation porosity mean value tortuosity Upstream Oil & Gas experiment carbonate Standard Deviation characterization capillary pressure permeability tortuosity heterogeneity equation effective porosity relative permeability...

... Reservoir Surveillance Simulation reliable technology linear flow Standard Deviation hydraulic fracturing posterior distribution transient hyperbolic model evaluator forecast Upstream Oil & Gas hindcast production data decline curve analysis year cumulative production rate-time behavior...

... during the tests. A standard deviation is calculated from the stochastic simulation. The standard deviation is not only a good measure of the predicting capability of each method, but also embraces all operational variations of flow conditions during testing. This leads to a better estimation of the most...