... the proposed methodology. These include: Eagleford, and Marcellus Basins. What we observed, in general, is that approximately 70 % of the variance in production data can be explained by geological parameters and about 20 % of the variance can be explained by completion parameters. True vertical depth...

... the auto driller continuous improvement process were cascaded to two additional rigs in another basin in East Texas. Reducing depth of cut (DOC) variance through ROP set point management in interbedded formations reduced required bit runs in the second basin as well. The rig contractor deployed...

... upgridding and upscaling approaches developed for clastic reservoirs perform less well. This has led to the development of a novel "Distance Based" upgridding technique which we combine with "Diffuse Source" upscaling to successfully simulate such models. We replace previously developed variance-based...

... and production rates are subjected to multiresolution analysis using the wavelet transform to determine the detail coefficients. The variance of the detail coefficients is then computed and is ready to be processed using various signal processing techniques. Signal processing techniques such as cross-correlation...

... the vertical axis closer to that of well data. Artificial Intelligence spectral approach simulation result application Reservoir Characterization simulation method variance well log data geological modeling Upstream Oil & Gas well data mathematical model Value distribution vertical axis...

... was needed. machine learning Portfolio analysis asset and portfolio management Artificial Intelligence Upstream Oil & Gas modeling portfolio variance project selection threshold portfolio process capital portfolio optimization constraint selection Implementation characterization...

... data quality more objectively, consistently, and efficiently are demonstrated using field examples. real time system pressure transient analysis pressure transient testing Upstream Oil & Gas formation testing Artificial Intelligence drawdown variance stability workflow pressure...

... integration reservoir simulation grid deformation multiplier Risk analysis Artificial Intelligence deformation displacement reservoir model variance application error map society of petroleum engineers Indeed, the reservoir geometry is typically kept fixed, and the history matching workflow...

... have more than 10 percent weight growth from authorization to completion. Meanwhile, estimated contingency has a much narrower range compared to actual, required contingency. The extent of the weight growth may be a surprise for those in Industry. In terms of average weight growth and variance...

...) ; observes that larger variance will lead to steeper capillary pressure plateau region. By fitting the capillary curve to Brooks-Corey curve, larger variance corresponds to smaller pore size distribution and smaller entry pressure, indicating a more heterogeneous aperture distribution. However, current...

... reservoir characterization principal component information analogous reservoir criterion variance similarity ranking classification imputation target reservoir machine learning upstream oil & gas criteria similarity function identification reservoir database cluster analysis similarity...

... initial production as well as equivalent production over 10 years. produced water discharge baker hughes incorporated flowback water fresh water gupta cumulative gas production hydraulic fracturing gas production variance production data mccracken production statistics canada mouallem...

... the most optimum method for gravel packing in future Baram South wells. A statistical tool called Taguchi Method for Design of Experiment and Analysis of Variance (ANOVA) were employed to analyze impact of the well deviations, gravel packing techniques and permeability variation on skin factor...

... are marginal and hence the geological and geomechanical influences have a first order effect compared to fracturing technologies. Let us assume that the mean EUR in analog reservoir is α and β 2 is the variance of the EUR's. Assuming log normal distribution means that log of EUR values would...

... radius. As the variance of the particle size increases, so does the width of the pore size distribution. As the hydrate saturation increases, the permeability of the sediment decreases. This decrease follows Civan's correlation with a β of 0.75. The relative permeability becomes increasingly dependent...

... drilling efficiency, thus reducing drilling costs for the operator. This is a significant step change in PDC cutter technology, dramatically increasing fixed cutter drill bit performance. bit selection variance aeg test bit Upstream Oil & Gas test bit cutter torque bit design AEG cutter...

... of in-fill well program. Reservoir Characterization production control Upstream Oil & Gas Drillstem Testing geologic modeling production monitoring drillstem/well testing productivity index information production data original data variance procedure geological modeling Reservoir...

... statistics university variance supply and demand pricing spe 110812 npv deviation petroleum engineer equation uncertainty parameter evaluation Introduction ambiguity arising from choices about how such parameters can be extracted from historical data, particularly, how much of the past...

... posterior model parameter two-stage mcmc algorithm variance inversion objective function sensitivity algorithm machine learning history matching calculation optimization production well reservoir model realization permeability field permeability realization probability acceptance rate...

... distribution of the crushed proppant is measured. The definition of crush resistance is the weight percent of tested proppant that passes the smallest sieve of the originally specified size distribution. Several factors influence this measurement process and generate variance in the crush resistance value...