... database by a complex DNN, to a simpler DNN, for explainable and fast assessment. neural network integrity assessment dataset artificial intelligence pennsylvania database deriving insight ensemble upstream oil & gas assessment information dnn knowledge probability logit...

...) . Nevertheless, although from a limited number of published TBP data it was shown that the real values for different fluids can substantially deviate from the ones provided by the correlation ( Dandenkar et al., 2000 ) the oil industry continues to utilize this dataset despite the fact that the errors that can...

... into the ML model. For a dataset of approximately 18,000 reservoirs with high confidence in the recovery factor, a model was developed with 6 numerical features. The model exhibited an accuracy of ±5% for 50% of the data (between P25 and P75) and ±10% for 80% of the data (between P10 and P90). Contrary...

.... enhanced recovery inline viscometer upstream oil & gas chemical flooding methods viscosity regression rf regression dataset viscosity monitoring injection algorithm degradation injector artificial intelligence machine learning polymer laboratory viscosity calculation polymer viscosity...

... enhanced recovery simulation neuron dataset slug algorithm reservoir simulator vector presented upstream oil & gas chemical flooding methods injection prediction coreflood experiment Introduction Machine Learning The use of Machine Learning techniques has been booming in recent...

... laboratory data collected from literature, amounting to more than 200 data points. The dataset reports core oil recovery factor as a function of three reservoir parameters including porosity, permeability, initial oil saturation. While injected foam volume and total pore volume are also considered...

... of utilizing legacy data for potential opportunities. The new database also helps QC the dataset of existing PVT reports along with aiding in identifying the sources of hydrocarbon origin in this region. drillstem/well testing pvt measurement condensate reservoir cgr correlation complex reservoir...

..., and caliper log were used as predictors. A total of 3800 data points were obtained from several wells located in a carbonate reservoir. A comprehensive data exploratory analysis tools (EDA) was utilized to evaluate the quality of the dataset which led to removing the extreme values and outliers. A fully...

... neural network natural language database query opencv computer vision dataset information management machine learning usearch usearch ui category engine interface facet application keyword share drive report Introduction In an era of Digital Transformation, Upstream data...

... strategies. The workflow also allows for incorporating prior domain knowledge from drilling experts. knowledge graph artificial intelligence deep learning expert system upstream oil & gas text processing dataset extraction workflow information conversational agent relation machine...

... on a HTE dataset with an excellent prediction score. Efforts are also made on the USPTO patent dataset which covers a wide variety of chemical reaction space. The USPTO patent dataset consists of almost every chemical reaction published since late 1970s till 2006. Diverse techniques starting with Multi...

... procedure project application dataset reservoir characterization pakistan implementation repository decisionspace integration server nomenclature document naming convention data management framework information management database platform dissemination operation Manuscript...

... a multi-level operational coding for any given operational remarks. The model has been tested and validated with around 800,000 records from datasets from multiple years, and showed significate results when compared to recent reports and subject matter expert evaluations showing a very good level...

... over the UAE portion of the basin in the belief that the Arabian Platform Carbonates extended from the Rub al Khali Basin, beneath the Semail Ophiolite to the east. This study depicts how this legacy 3D dataset has been re-evaluated to define new prospectivity. A tectonic history defined by a sequence...

... learning saudi arabia annual technical symposium mahmoud tensile strength wellbore design hydraulic fracturing reservoir characterization abdulraheem dataset pressure diameter borehole exhibition permeability Introduction Unconventional tight reservoirs are usually characterized by low...

... simulator detector elevation artificial intelligence application combustion prediction detection dataset video analysis dataset evaluation metric architecture vector monitoring equation airsim simulator Introduction The fields of oil and natural gas have grown significantly...

... production monitoring esp production control autoencoder improved production performance figure artificial lift system outlier detection dataset anomaly detection algorithm learning algorithm field prediction electric submersible pump Introduction Field X is situated about 200 km West...

...Support Vector Machine (SVM) Figure 5 Logistic regression function in machine learning (Source: Pant 2019 )) Gradient Boosting Often employed as a machine learning algorithm for minimizing bias and variance error, the gradient boosting algorithms can run through datasets...

... surveillance production control algorithm operator upstream oil & gas flow metering data mining application model approach prioritizing production optimization intelligent production optimization decision architecture exponential dataset cold lake Introduction The concept of RNN...

... in partnership with Baker Hughes. This inspection system enables fast external thermographic screening of large facilities by covering many condition monitoring locations (CML), and without any contact with the asset surfaces. It examines temporal thermography datasets that are collected using a high-resolution...