... oil & gas analogue mature field eur range variability complex reservoir recent development wide range simulation result petroleum engineer productivity probability repeatability appraisal program appraisal strategy operator appraisal well URTeC: 3719213 Using Data Science...

... to the probability of chance. To address these challenges, this paper offers a low-cost and scalable machine learning workflow, capable of predicting SWD interference with public and affordable private data. In this study, a logistic regression model was trained with cross-validation on 136 historic Ovintiv wells...

... and the uncertainty in several input parameters. Sensitivity analysis showed that the net present value was sensitive to input assumptions for oil price and the probability of total production loss (i.e., no further production after refracturing). The results also showed different refracturing performance depending...

... to achieve asset or corporate-level goals. Risk and uncertainty are evaluated by assigning probabilities to commodity prices, capital costs, operating costs, and production forecasts, highlighting several specific downside cases in addition to the expected case. Our economic analysis provides results from...

... (COS) probabilities derived from KSF isoprobability maps are applied to success-case economics for each location. Third, RICs method uses a specific economic viability test for classifying inventory entities which examines the risked internal rate of return (IRR) of each location against the hurdle...

.... FEAST model uses initial fraction of leaking components to calculate initial number of leaking components for an on-going gas field. Leaking component creation rate is a parameter used by FEAST model to describe the probability of equipment changing from non-leaking state to leaking state. Sites Initial...

... of assessed events as a function of the estimated probability. Calibration curves can be generated by tracking probabilistic assessments and comparing them to actual performance. Typically, similar biases exist in subsequent assessments and, therefore, statistical de-biasing methods coupled...

... and measures the probability of pixels in the phase/constituent of interest being connected. Two pixels and + are connected if both belong to phase of interest and lie in the same cluster. The probability can be calculated at all the possible distance separation between pixels of phase of interest...

... Intelligence translation machine learning classification neural network Upstream Oil & Gas accuracy image classification SEM image image segmentation Eagle Ford Woodford pixel unconventional reservoir microstructural analysis dataset model 5 alexnet probability Microstructure URTeC...

... a large number of these estimates, the frequency of outcomes would correspond to the probabilities of reserves stated by reserves definitions. Reserves volumes should be as reliable as possible so that investors can be confident they are comparing volumes fairly: “Tightly controlled and audited reserves...

... system Upstream Oil & Gas Artificial Intelligence hydraulic fracturing information Ramp stimulation Completion Installation and Operations ball failure Efficiency fluid entry point diversion pressure analysis detection completion strategy probability high-frequency pressure analysis...

... plays. Instead of identifying a single "best" model, we propose to regard any model as potentially good, where goodness is characterized by a probability. The probability of a model being good is interpreted as a measure of the relative truthfulness of this model compared with the other models...

... activation was evaluated. A Quantitative Risk Analysis (QRA) was undertaken to analyze both the probability of induced fault slip and the sensitivity of the slip to model parameters. Finally, we repeat this analysis for each fault interpreted from an ant tracked image, where each fault is colored by its...

... the event locations with their probability density functions, even non-linear uncertainty functions can be displayed. Once all information is represented by PDFs, Bayes theorem can be effectively used to integrate this information consistently. It also allows for the incorporation of subjective...

... completion historical failure data Energy Economics shale gas failure scenario URTeC operation limitation Drilling application expert judgment contamination reliability probability Scenario integrity Subsurface Well failure data URTeC: 2459399 Application of Bayesian Networks...

.... In this work the main concept is reliability and probability of failure for the hydraulic fracturing systems which requires the evaluation of intrinsic and extrinsic uncertainties associated with the system. This work develops and documents a probabilistic reliability assessment methodology that addresses...

... inventory stochastic modeling forecast performance uncertainty timing uncertainty capital program production rate probability asset and portfolio management portfolio production forecasting inventory commercial failure deterministic forecast SPE-2436590 Handling Risk and Uncertainty...

... machine learning Upstream Oil & Gas geostatistical seismically elastic property probability geological modeling Bayesian Inference seismic data URTeC subsurface geomodel three forks formation Reservoir Characterization thin reservoir information conditioning case study...

... for. Artificial Intelligence velocity uncertainty fluid pressure attenuation Poliannikov arrival time Upstream Oil & Gas microseismic event velocity model travel time probability rock failure injection Reservoir Characterization diffusivity spe-178673-m urtec microseismic data event location...

... probabilities to each (digitized) sample used in a probabilistic clustering procedure (PCP) that uses standard well logs as clustering variables. This procedure permits the high-definition CT facies to be directly related to the well log data, and the results of the PCP provide a mathematical model (generated...