...: 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, and it was determined that the KNN...

... was available that could confirm the validity of the correlation, but it was shown that ASDs respond differently when installed subsea. Subsequently, laboratory flow loop testing was performed with ASDs installed on a pipe submerged in a pool. This confirmed that the correlation has a similar accuracy for both...

.... sustainable development climate change machine learning real time system well logging sustainability information social responsibility accuracy formation evaluation optimization validation precision application petroleum engineer artificial intelligence upstream oil & gas prediction lwd...

... operation co 2 cubic eos solubility ccus application subsurface storage flow metering riser corrosion supercritical phase accuracy prediction pvt measurement eos midstream oil & gas non-condensable gas concentration shift parameter phase boundary experimental data hydrogen...

... 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...

... 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 the false positive...

... technology; – The various applications of both the online and offline modes of operation of the PMS and; – The benefits and challenges associated with the use of the PMS during its first year of operation. pipeline pigging flowline real time system accuracy concentration Upstream Oil...

... pipework design, inspection regimes and operating limits. This paper assesses the accuracy of erosion predictions made using simple equations, conventional computational fluid dynamics (CFD) erosion simulations and high-resolution CFD methods. Correlation-based prediction methods, such as those in DNV...

... to this issue to date has been to take a static survey, which takes rig time and can lead to wellbore stability issues. Presently cD&I surveys are used as a guide to what is happening to the direction and inclination between static surveys. This technique has proved to be very effective and the accuracy...

... will be discussed, along with recommendations of the basic essentials to be considered when planning positioning in the arctic. higher latitude acoustic positioning system operation positioning society of petroleum engineers accuracy magnetic north pole magnetic field harsh environment acoustic...

... in the industry, it is important to reemphasize the point that the absolute accuracy of the results from the mathematical model are only as good (or as bad) as the accuracy of the hardware-based flowmeter against which it is calibrated. The irony being that the accuracy of physical meters is also only as good...

.... 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 the technology and answers provided by an accurate in-situ fluid analyzer. Several case studies...

... Oil & Gas accuracy Reservoir Surveillance oilfield flow rate basic dvr system production data Artificial Intelligence infrastructure information redundancy detection data quality sensor dvr solution data validation enhanced recovery bottomhole pressure society of petroleum...

... 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...

... 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...

... 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...

... savings on extensive lab work and substantial required time. neural network flow in porous media accuracy relative permeability arab-d reservoir ANN model correlation experimental data water relative permeability reservoir carbonate reservoir permeability machine learning Upstream Oil...

.... By the late 1980s, the common practice was to engage a survey company to carry out the plant survey, taking single-point measurements with a theodolite and marking up drawings manually. Accuracy was improved, but this was still a very time-consuming process. In the early 1990s, as the use of CAD became...

.... 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...

... 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...