... geological uncertainty of each proposed infill location is determined using a stochastic-based reservoir simulation model. The uncertainty in each well location is plotted by a three-point discrete probability distribution (low (p10), medium (p50), and high (p90)) values and compared to the MEV. The wells...

... waterflooding artificial intelligence machine learning scenario reservoir simulation sensitivity analysis reservoir geomechanics probability fracture half-length propagation minimum horizontal stress cdf enhanced recovery geological subdiscipline fracture growth fracture initiation uncertainty...

... Abstract Time-to-event analysis (i.e. survival analysis) is a well-established statistical approach to analyze the probability distribution of and impact of various parameters on a time-domain of interest. This approach has been mostly applied to various equipment failure prediction problems...

... neutral energy landscape. transition scenario carbon taxation social responsibility mechanism npv capital expenditure sustainable development carbon neutrality monte carlo simulation probability cash flow emission totalenergies sustainability investment financial strategy energy...

... (vertical, horizontal) and environmental conditions (specific contents of H2S, CO2 partial pressures and water cut). To estimate the final blowout probabilities Fault Tree Analysis is utilized to systematically identify and assess potential failure modes and their associated probabilities. The final values...

... functionality of the barrier. On the other hand, if the risk assessment shows that the risks associated with the current well barrier condition are under control and proper mitigations are available, the well could be run within a strict working envelope. wellbore design probability natural gas storage...

... Abstract Numbers tend to have one meaning, whereas words can be open to interpretation, so one might expect the language of probability to be better at communicating the uncertainty in CO 2 geological storage resource estimates to project stakeholders. However, rather than assigning...

.... In the inversion process, given co-located measurements of seismic acoustic impedance and logging-while-drilling electromagnetic resistivity data, the pointwise probability distribution of rock-properties is derived directly from the training dataset by applying the kernel density estimation algorithm. A non...

... was estimated using two major metrics.The coveragemetric, indicates the ratio of true forecasted events. Number of false alarms per day metricfor the specified probability threshold. Using different schemes of metric calculation, one could evaluate the model's ability to both forecast and detect accidents...

... sheath flow in porous media Upstream Oil & Gas topmost barrier application abandonment cement sheath permeability reservoir simulation flow rate combination plug probability distribution probability Scenario production control reservoir surveillance production monitoring...

... for automatic RM selection (called RMFinder), which seeks to maintain the representativeness of the models on three main indicators: (1) crossplots that combine different output objective functions, e.g. net present value (NPV) and oil recovery factor (ORF); (2) risk curves; and (3) probability distribution...

... correlation Implementation prospect joint development solution development solution probability distribution discovery valuation development scheme conditional probability machine learning asset and portfolio management information probability tree Drilling Exploration Decision probability...

... for the next development phase, proved to be valid during the drilling campaign of more than twenty HA-HZ wells, with only minor adjustments required to propagate the model. An automated workflow for geostatistical simulations conditioned by seismic probability cubes of facies and petrophysical properties...

... and a distribution that matches the original data. For this work, we associate the lognormal CDF with a set of discrete random variables that replace the production data, and determine the associated probabilities. The production data for both conventional and unconventional fields are lognormally distributed, thus...

...Binomial Probability Theory (BPT) Binomial Probability Theory (BPT) determines the probability of a select event ‘p’ occurring exactly ‘r’ times from ‘n’ trials. An example application of this theory is summarised in Table 1 which models the probability of a head (‘H’) success event from...

... are the hard data for geological modelling and support for petrophysical properties distribution, the corresponding upscaled log facies curves are used to populate the template for seismic elastic attributes classification to facies probabilities. The successful application to a green field in ultra-deep...

... − s ( θ ) i ) 2 / 2 σ 2 ) If the output constitutes a set of random variables having joint multivariate distribution, then the probability of matching all the points is the product of matching each point individually, and so is (4) p = ∏ p i...

... Value (EMV) difference of a decision tree with and without the pilot can be used if the Decision Maker (DM) is risk neutral. However, if the DM requires hurdle values through a Probability of Economic Success (PES), Value Functions (VF) and Decision Weights according to the Prospect Theory should...

... Reservoir Characterization classification elastic space porosity Artificial Intelligence reservoir characterisation characterisation workflow micp-based elastic rock RRT probability society of petroleum engineers seismic scale facies model cluster analysis permeability machine learning...

... viable at various F&DC and gas prices subject to satisfying the prescribed investment hurdle. complex reservoir Upstream Oil & Gas shale gas gas production gas well gülen shale gas reservoir economic model almadani Barnett shale gas price ikonnikova basin probability gülen...