... and maintenance program for pipeline(s) can be optimized. enhanced recovery midstream oil & gas pipeline leak detection data mining upstream oil & gas measurement and control communication system pipeline data collection criteria assessment feasibility study installation cost...

... of similar AI methods throughout the oil and gas industry. artificial lift system neural network artificial intelligence testing sample esp module accuracy deployment workflow deep learning model data mining machine learning upstream oil & gas deep learning esp critical event...

... science to enhance equipment performance, and can be replicated towards other types of equipment to achieve efficiency, economic and emissions improvements at scale. data mining compressor climate change optimization problem artificial intelligence accuracy gas turbine efficiency gas turbine...

... and portfolio management directional drilling reservoir simulation structural geology lithological control efficiency oil column horizontal section workflow upstream oil & gas inversion-derived workflow owc data mining drilling operation diverse complexity reservoir-scale profile update...

... that assesses online health status and probability of failure, by detecting functional anomalies or aging phenomena and evaluating their impact on asset serviceability. data mining optimization problem severity artificial intelligence upstream oil & gas risk management use case maintenance...

... as sustaining the technical capability building. By understanding the key critical success factors in implementing the digital solution, it is a real life example on how to build your own business case when it comes to digitalisation and to avoid from creating another white elephant solution. data mining...

... and the digitalization journey. Innovative machine learning tools continue to unlock new values from legacy core data that significantly impact the entire reservoir life cycle including reserves booking, production forecasting, well placement, and completion design. machine learning neural network data mining...

... and critical processes can eventually able to be accessed via mobile apps which will be a ‘pace-setter’ in overall pipeline integrity management scheme i.e. ‘effectively managing pipeline at fingertips’. corrosion inhibition materials and corrosion pipeline leak detection data mining production...

... barrels. production monitoring knowledge management production control data mining reservoir surveillance strategic data acquisition upstream oil & gas fast track full field prolong peninsular malaysia water idle well reactivation economic life life field opportunity full field re...

... transformation wrtc real time system data mining annular pressure drilling intervention incident workflow Introduction Petroliam Nasional Berhad (PETRONAS) Wells Real-Time Centre (WRTC) has been proven in multiple fronts on its capability in improving drilling performance and reducing impact...

... to train the ANN for a better ROP prediction. Better R 2 and MSE combinations were evident giving values of 0.9434 and 0.03918 respectively where the input data consisted of both drilling parameters and bit image features. machine learning data mining artificial intelligence rop prediction bit...

... the effectiveness of maintenance tasks and optimize the overall maintenance program with reduced safety & environmental risks for assets on offshore platforms. upstream oil & gas asset condition data mining vibration sensor data security offshore platform platform maintenance center processing...

... provides a basis for the development of future numerical models and enables the next generation of subsurface photonic tools. reservoir characterization data mining neural network subsurface matter perforation production control reservoir surveillance reservoir simulation prediction...

... & gas midstream oil & gas flowline corrosion materials and corrosion riser corrosion pipeline pigging data mining deep learning petronas assessment predictive analytics data frame inspection group technical solution integrity management pipeline system information prediction...

...-evaluated methods. While the focus of the paper will be on a single application, similar approaches may be beneficial to other applications and other industries, achieving similar benefits. data mining anomaly artificial intelligence effective tool shoulder point technician application big data...

... characterization fracture closure pressure proppant complex data formulae dataset hadoop visualization hydraulic fracturing data mining information big data apache conductivity micro-seismic monitoring apache spark historical data propagation upstream oil & gas offshore technology conference...

...Abstract Abstract With the construction of intelligent oil field, profound change is being brought by internet of things and big data, resulting in innovative development and management by information collection, distributed computing and data mining and other technologies. However...

... group. dashboard tacit knowledge petronas digital fluency analytic solution offshore technology conference pain point knowledge information domain science data science fault tree data mining requirement early warning failure prediction monitoring engineer agile methodology big...

... provided independent fracture characterisation inputs for discrete fracture network (DFN) and dynamic models of the fractured reservoir examples shown. conductive feature fracture fracture porosity porosity resistivity natural fracture image log conductive feature extraction equation data...

... earned value management for oil & gas project prediction. upstream revenue data mining end application project owner big data investment information system upstream oil & gas application project management indonesia portfolio module business process offshore project lifecycle...