... for prediction and comparative analysis were: Multi-linear regression (MLR), K-nearest neighbor (KNN) regression, Random forest regression (RFR), Support vector machine (SVM) regression and Artificial neural network (ANN). All five models were tested for their accuracy in predicting porosity and bulk density...

... a similar accuracy for both topsides and subsea ASD installations. The correlation is currently being trialed by an operator with a view to using it as a tool within their overall sand management strategy. ASDs are widely installed, but their output is often poorly understood or misused. This paper...

... phase behaviour and thermophysical properties of hydrocarbons. These EoS are also able to predict the properties of CCS streams at wide ranges of pressure and temperature. It should be noted that using cubic EoS require tuning binary interaction parameters (BIPs) to increase the accuracy of predicted...

... learning sustainable development real time system log analysis social responsibility artificial intelligence neural network climate change well logging upstream oil & gas prediction lwd measurement incorporation efficiency real time cloud-based automation risk mitigation accuracy...

... to detect whether ball valves were open or closed delivered good results, with high accuracy and balanced false positive and false negative detection rates. The overall performance of the infrared gas detection model was restricted by the limited volume and variability of the training data, although...

... constancy and optimise the accuracy of the design, leading to reduced project costs. Utilising the 3D models enriched metadata and by developing independent algorithms, it is possible to create a cyberphysical model that enables automation of the design review. For example; using the geometrical data...

... concentration simulator application accuracy liquid holdup ledaflow model flowline Simulation operation management system shortfall online operator society of petroleum engineers Operation team Introduction The Laggan gas condensate field is located approximately 125km north-west...

... piping design production monitoring piping simulation Upstream Oil & Gas McLaury CFD prediction production control production logging accuracy Reservoir Surveillance CFD Simulation orifice plate multiphase flow equation prediction test data prediction method erosion...

..., along with recommendations of the basic essentials to be considered when planning positioning in the arctic. accuracy magnetic north pole magnetic field harsh environment acoustic signal higher latitude acoustic positioning system operation positioning Upstream Oil & Gas true north...

... Abstract When kicking off at low inclination, static measurement-while-drilling (MWD) surveys are used to confirm the kickoff direction when free of magnetic interference from offset wells. However, as MWD continuous azimuth and inclination measurements have limited accuracy, the directional...

... testers with fluid analyzers are used for early fluid characterization and sampling. However, with the increasing fluid complexity subtle differences need to be understood. This requires comprehensive compositional analysis, high resolution answers and quantified accuracy. This paper describes...

... for frequent buildups. In addition, many reservoirs produce at flow rates below the threshold required to achieve reasonable accuracy with test separators. However, when downhole measurements are used, it is possible to accurately plot flow rate as well as flowing and reservoir pressures, which enable...

... Surveillance oilfield flow rate Artificial Intelligence infrastructure information production monitoring Upstream Oil & Gas accuracy detection production data data validation data quality sensor dvr solution separation and treating redundancy bottomhole pressure society of petroleum...

... with multi-dimensional historical downhole data. The ANN is shown to be able to validate continued proper sensor operation or diagnose a future malfunction of any sensor. It will also be shown that the trained ANN can predict parameters such as the zonal BHP, with sufficient accuracy and that they serve...

.... In this paper, a new DFA tool is introduced which greatly increases the accuracy of these measurements. The tool uses a grating spectrometer in combination with a filter-array spectrometer. The range of compositional information is extended from four groups to five groups: methane (C1), ethane (C2), propane...

... degree of accuracy to the location estimate. Platelet Technology ® involves the remote injection of discrete particles known as "Platelets ® " into a pipeline which are carried to the leak site due to the flow. When they reach the vicinity of the leak fluid forces entrain them into the leak and hold...

... environment has given AMEC the opportunity to reduce project costs, shorten schedules, and improve safety. project management accuracy enhanced recovery PDM point cloud data presentation cloud computing clash check photogrammetry personnel brownfield project spe 109106 Laser Scanner society...

... production data. This paper shows that fairly satisfactory production rate estimates can be obtained with FWPU, even when the subsea tieback to the production and export facilities is more than 50 km long. Accuracy of the production rates derived from testing-by-difference can be impacted by interference...

..., and as a blind test of the performance and accuracy of the network. Several neural network architectures and training algorithms have been attempted to achieve the best results. The results were obtained using a hybrid approach of genetic algorithms and neural network. Results All the six networks...

... Abstract BP started development of Andrew field in 1996 with a program for 13 producer wells and one gas injection well. Oriented perforating was used for the weaker Andrew sandstone intervals in some wells, as a means of reducing the risk of sand production. However, the accuracy of oriented...