... Eq. 1 ), also known as the SM method, which creates an explicit relationship between the three Reserves categories ( Moridis et al , 2019 ). The SM method is currently the most often used method in the petroleum industry to evaluate possible Reserves ranges. This SM method is used...

... for calculating imposed risk category of any well. Comparison analysis for the deployed models was performed to infer the best predictive model that can be relied on. 11 models include both supervised and ensemble learning algorithms such as random forest, support vector machine (SVM), decision tree and scalable...

..., supervised learning can be divided into two categories: classification problems and regression problems. Classification techniques predict categorical responses. Classification models classify input data into categories. Regression techniques predict continuous responses, such as temperature changes...

... fluid slippage. There are many styles of plungers based on their weight, fall speed, and embedded one-way valves’ mechanism, and they should be used in different kinds of wells. Plungers can be grouped into five major different categories. This project utilizes machine learning and data analytics...

... upstream oil & gas centroid input data artificial intelligence stop word prioritized hse risk machine learning frequency category user interface natural language pilot study information application algorithm hse report representation hse risk hazard category petroleum...

... Damage Quantification The first and the second category of the IADC dull bit grading ( Table 1 ) pertain to the percentage of the cutter that has been chipped off. The goal, once the cutters have been isolated and identified using the YOLO v3 model is to use either image processing or machine...

... required to construct, calibrate, and optimize around 50 wells was less than two weeks. machine learning reservoir characterization production control artificial lift system enhanced recovery asset and portfolio management gas injection method upstream oil & gas category workflow well...

... resource economics category normalized score petroleum engineering curriculum Engineer aggregate result academia practical application statistics Petroleum Engineer emphasis petroleum engineering graduate complex reservoir frequency curriculum total score free-response question respondent...

... their analyses. These workflows are mainly based on traditional statistical algorithms rather than Artificial Intelligence and Machine Learning. Such approaches represent different versions of Decline Curve Analysis. Shale Descriptive Analytics takes into account seven categories of field measurements; (i...

... incentive category Peruvian Jungle operator pipeline contingent resource Introduction The primary recovery factor of worldwide oilfields is estimated at 35%. Several countries have tested new development and operational strategies as well as new technologies to increase oil recovery in a more...

... favorable candidate wells, using solely gas rate profiles. complex reservoir restimulation candidate Artificial Intelligence feature score field data classifier prediction machine learning Upstream Oil & Gas information Restimulation Candidate Selection shale gas category procedure...

... Fracture Network falls under the category of reservoir characteristics. In this approach Artificial Intelligence uses 12 measured parameters representing the volume of fluid available for production and operational conditions as well as completion and hydraulic fracturing practices to infer the presence...

... on transportation and security of oilfield explosives with a global perspective. Updated information for surface pressure control equipment, including the effects of adiabatic heating. The segregation of electric initiators into safety categories. A new section dedicated to selective fire perforating...

..., but the way it is presented and discussed is original and novel. offshore pipeline information investigation storage capacity j-lay vessel top tension capacity flexlay vessel construction subsea system category heavy lift capacity carousel reel-lay vessel lift capacity Upstream Oil...

... safer for employees. This paper presents a powerful HSE big data analytics platform which is capable of analyzing complex records based on area (state), category, industry, occupation, type of event and sources. An example database by Bureau of Labor Statistics (BLS) is used in this study which includes...

... sustainable development sustainability specification category Artificial Intelligence Upstream Oil & Gas solid mineral fossil energy energy source application recoverability renewable energy source mineral reserve classification system quantity generic specification social responsibility...

... learning reserves evaluation Simulation project management quality analysis category investment climate arctic offshore assessment arctic project probability Barent Sea reservoir Artificial Intelligence field development information territory Kara Sea regime reserves classification...

... a quantitative value that can be used to compare it with other studies from the same field or from the same type of fluid. The methodology consists in a qualitative assessment of several specific points, called Critical Points , which are grouped into 6 Control Categories : 1. Sampling...

... proved, probable and possible reserves (and 1P, 2P and 3P reserves). By the same token, if a project fails to meet any commercial requirement, including the five-year time limit, then the project should not be considered commercial and should not have reserves of any category; instead, it should have...

... thought and testing. artificial intelligence upstream oil & gas risk management risk assessment risk and uncertainty assessment rms spe international conference matrix blowout prioritization pritchard communication health safety category consequence exploration spe paper risk...