... reduction that occurred during the data assimilation. They provided statistical insights with respect to the reservoir characterization, such as increased high permeability streaks probability in specific zones or reduced uncertainty surrounding the porosity/permeability transforms for each rock type...

... Figure 2 Bayesian network of lost circulation Consequently, a prediction model using Leaky Noisy-OR Gate Bayesian network and seismic attributes, to not only locate the potential mud loss points but also their severity and probability of occurrence, is built. The model includes several...

... percentage of probability of occurrence and actions to be taken in accordance with good industry practices. Discussion Digital solutions represent continuous improvement and growth at the business level in the last decade of the industry. The challenges and needs allowed to achieve an increase...

..., a method integrated deep learning and spectral decomposition was proposed. upstream oil & gas artificial intelligence identification neural network machine learning variance coherence curvature probability noise resistance deep learning reservoir characterization frequency spectral...

... for Sustained Casing Pressure (SCP), Casing Vent Flow (CVF) and corrosion, to quantify integrity of a well. These vectors and soft probability from knowledge representation of the first DNN, combines in the first objective, to ensure transfer of entire knowledge from the first DNN to the second DNN. Second...

... technology. Through Fault Tree Analysis (FTA), a value of blowout probability is calculated for each well operation. The initial blowout condition is associated with a blowout flow rate, calculated with fluid dynamic computational models depending on well flow path and release point into the environment...

... project horam probability scenario information risk spectrum manuscript spectrum risk curve Introduction The exploration and production of hydrocarbons is undeniably a high-risk venture. Uncertainties are in every activity, from the exploration phase up to facilities construction...

... log data serve training. To analyze the uncertainty of predicted estimates, a second oilfield case study applies 100 iterations of log data from 350 wells to obtain P10-P50-P90 probabilities by randomly removing 40% (140 wells) for validation purposes. In a third case study elastic logs and a low...

... probability detectability production mechanism dip ip Introduction This study concerns a field located within the Santos Basin, Brazil, comprising pre-salt thick Aptian reservoirs interspersed with igneous rocks. The gas management is of paramount importance on this field due to top-side...

... option optimization problem volatility option valuation approach cumene project economics probabilistic npv assessment terminal scenario petroleum engineer uncertain price environment probability Introduction: the problem of project valuation in an uncertain price environment...

... production gain tangible value digital solution automation upstream oil & gas conservative estimate value model probability terminal strategic planning and management performance indicator kpis digital technology smart field asset implementation leveraging scenario Introduction...

... high critical system procedure functional failure maintenance optimization rbmo maintenance program critical system criticality analysis petroleum engineer risk management likelihood objective consequence probability maintenance strategy Introduction Assets integrity in the Oil...

... conditions. Through adopting a combination of peak-over-threshold method and Markov-Chain-Monte-Carlo (MCMC) simulations, convolution of long-term (storms) and short-term (wave probabilities within a storm) was conducted resulting in the generation of the Hazard Curves that account for the possible...

.... The approach for evaluating the offshore assets’ structural performance was developed based on adopting target probability of failure figures subject to each asset's consequence of failure. Accordingly, structural reliability analyses were conducted specific to each structure, where the analysis considered...

... 90% of all producers deliver the economic demand at an 80% probability level or higher. In a second study the workflow is applied to a real field to discuss guidelines of use and to share expected gains in workflow efficiency, result quality and decision support. reservoir characterization...

... to increasing chance of hydrocarbon fill. Data are categorized into weak, moderate and strong AVO response based upon their distance from the background wet trend and then this is used to modify the chance of success of near-field appraisal drilling targets utilizing conditional probability. This results...

... logging upstream oil & gas composition schlumberger neutron generator neutron cement and bond evaluation detector gamma ray cement evaluation neutron transmission absorption probability collision interaction probability neutron energy cross section Introduction When a casing...

... learning deep learning reservoir characterization upstream oil & gas multinomial classifier detector geological age determination artificial intelligence classification correlation detection micrograph precision object detector miss classification probability training data nannofossil...

... real time system information knowledge availability management strategy machine learning maintenance Asset Performance Management reliability management system Artificial Intelligence risk management requirement Condition Monitoring probability maintenance strategy innovation asset...

... requirements and calculates the probability of failure, which will lead to each of the three consequences, for the critical component or the overall structure. The risk is evaluated and compared with the industry standard and the operators own acceptance criteria to determine if operational procedures need...