... correlations between some sensors allows a data dimension reduction within highly correlated data. For example, engine discharge temperature for eight cylinders is highly correlated to each other. The designed alarm (H, high, 600 °C) and trip (HH, high-high, 620 °C) thresholds for these sensors are identical...

... spectrum monitoring mechanical equipment microphone threshold hyperparameter Introduction Conformation to Industry 4.0 requires technological advances beyond digitisation. This is being made possible with the aid of IoT, cloud & edge computing, AI & ML, cyber security, and digital...

... mainly, multilevel thresholding and pixel intensity clustering algorithms were programmed to segment images for extracting elements from segmented regions. The extracted elements were compared with original image for labeling. The labeled elements are interpreted for geological elements such as matrix...

.... interpretation deep learning reservoir characterization prediction upstream oil & gas artificial intelligence neural network machine learning threshold size-based reclassification petroleum engineer society detection endeavor annotation table 1 architecture pixel bioclast irregularity...

... variation reservoir characterization carbonate reservoir fraction fracture porosity production monitoring heterogeneity slowness threshold histogram machine learning matrix vuggy porosity porosity quantification Introduction The key to understand carbonate reservoirs is recognizing...

... at "compressor level" to have a complete picture of the phenomena and prevent the compressors from unplanned damages due to liquid carryover. liquid carryover variation health index artificial intelligence synthetic indicator threshold compressors engines and turbines carryover algorithm...

... surveillance pipeline corrosion upstream oil & gas production chemistry materials and corrosion production control well integrity oilfield chemistry enhanced recovery flowline corrosion information threshold corrosion management riser corrosion production logging production monitoring...

... & simulation potential bottleneck greater burgan field kuwait oil company correlation threshold optimization problem drillstem/well testing hydraulic model reservoir pressure production system calibration network model gathering center hydraulic simulator petroleum engineer surface network...

... are compared with threshold values and a warning message is issued to the facilities supervisors when the ground acceleration exceeds design values. Threshold values related to secondary seismic effects (e.g., seismically induced landslides, debris flow) which could affect facilities integrity are also...

... wireline logging job. downhole intervention dogleg zone differential sticking threshold intervención de pozos petroleros well intervention cable sticking permeable zone cable thrust build drop turn cable well logging upstream oil & gas sticky zone dogleg wireline standoff log...

... oil & gas diagnostic matrix operation artificial intelligence anomaly threshold availability optimizing rotating equipment maintenance data mining normal operating condition failure mode sensor dataset machine learning early detection correlation algorithm maintenance engineer...

... for HFTO according to the following equation: pure stick/slip pure HFTO stick/slip with fully developed HFTO in the slip phase stick/slip with HFTO at the beginning of the slip phase and reduced amplitudes for low-frequency rotary speed values above a certain threshold in the slip phase...

... approaches would require up to 5 times higher alarm threshold, which may not be reached due to the low temperature difference of the oil to the ground. machine learning reservoir surveillance completion monitoring systems/intelligent wells measurement and control production monitoring release rate...

... and the accuracy of machine learning tools. data mining probability threshold optimization Artificial Intelligence montini standard ml evaluation big data predictive maintenance bianco machine learning Upstream Oil & Gas business-oriented framework Exhibition offshore mediterranean...

...: normalized rate of penetration (D-exponent), flow rate, and mud pit volume. An overall kick index is then calculated as a weighted summation of the variations in three kick indicators. An alarm is triggered after the calculated kick index surpasses a preset threshold. This automated system is tested against...

... Reservoir Characterization Upstream Oil & Gas Thickness Abu Dhabi threshold RCM core analysis Fluid Dynamics depositional environment x-ray ct scan radiolitidae porosity permeability flow in porous media modeling slab core shell thickness coupling method rudist permeability fragment...

... Abstract This paper applies Peak Over Threshold (POT) model of extreme value theory, using Generalized Pareto Distribution (GPD) which can give more accurate description on long-heavy-tailed distribution of crude oil prices dynamics. The baseline data are long-run series of historical daily...

... environments. Upstream Oil & Gas reservoir quality log analysis well logging flow characterization NMR log dolostone porosity Macro pore diagenesis dissolution reservoir threshold micro pore carbonate reservoir Reservoir Characterization pore Simsima Formation evaluation...

... itself. Segmentation involves a substantial amount of manual assignment of grayscale intensity thresholds to the given phases. This is a significant challenge in particular as the process is based on qualitative judgment and hence subjected to a substantial human bias. Importantly, in carbonates, where...