... Abstract For many oil fields, due to the limitation of economic benefits or short development history, there are many difficulties, such as fewer cores, larger spacing of cored wells and poor seismic data quality, etc. This paper takes a giant carbonate reservoir in H oilfield as an example...

... with diverse data formats and software tools. Ensuring seamless data exchange and interoperability between AI-powered modelling platforms and existing software used by engineers, designers, and fabricators is crucial for such integration. Engineering Data Quality: AI models need to be trained on data...

... Two points to improve have been observed when analyzing this data set. First one is to improve the data quality at the early-time region, where the data is noisy. It is important to obtain high-quality data at the early time region, especially when the late-time horizontal flow regime data...

... seismic survey. The comparison between traditional and slip-sweep acquisition methods revealed no significant differences in data quality, with the slip-sweep method nearly doubling acquisition efficiency. To manage the vast amounts of data generated during continuous passive seismic monitoring, a DAS...

... downhole monitoring technology and application data quality Introduction The ongoing transition towards sustainable energy sources is driving operators to explore renewable energy solutions. "Green" or renewable energy sources are characterized by their ability to regenerate at a rate equal...

... exploration opportunities, 4D seismic, lost pay identification, reservoir management, and CCS. structural geology geologist artificial intelligence data quality database inconsistency sharjah nahrwan 1967 information management machine learning datum dataset reservoir characterization snoc...

... government oilfield chemistry upstream oil & gas asia government corrosion data quality flowline corrosion implementation operation corrosion monitoring operating envelope program effectiveness pipeline corrosion real time system operating window corrosion monitoring system challenge...

... data quality timeseer information operation machine learning transformation ai implementation artificial intelligence digital twin sensor reliability scalable ai model detection presentation knowledge graph calculation generative ai real-time optimizer inefficiency Introduction...

... Abstract The paper presents a solution to the problem of qualitative determination of actual downhole loads and drilling parameters optimization performed employing a dynamic digital well model. The problem of the surface and downhole sensor's data quality is disclosed, and a solution...

... data mining marine transportation social responsibility big data natural language real time system sustainability information management data quality sustainable development operation shipment downstream application customer disruption integrated logistics challenge automation...

... customer lighthouse insight value visibility pel data quality lighthouse peterson energy logistics flow notification operation efficiency compliance lighthouse application application information transparency reduction Introduction It's 6:40am and my bedside alarm goes off. Time...

... reservoir modelling, and providing automated data quality check tools to assess the quality of the input data to the simulation model, as well as the quality of the simulation results against historical data. The framework enables a rapid update of the static modelling data, relative permeability...

... to maintain the model evergreen. These work processes can be grouped into two groups as follows: Digital Twin Maintenance work processes Digital Twin Performance/Data Quality work processes The Digital Twin Maintenance work processes assure the continuous updating of the different model...

... production monitoring completion monitoring systems/intelligent wells fluid dynamics structural geology malaysia government producer data quality production control boundary united states government drillstem testing pdg workflow history zone 2 permeability interpretation production data...

... wastewater data quality bod 5 vsa wastewater evaporative desalination conductivity toc venturi scrubber apu wastewater acid wastewater oxidation-absorption technology reuse treatment geologist asia government produced water management and control characteristic pollution characteristic cod...

... through scalable data science-driven approach, data quality assessment, and improvement to ensure the data meeting the requirements, and a pilot was performed on the prototype. The prototype showed excellent results compare to the conventional approach with simply a few clicks process that yielded...

... by introducing automation of redundant tasks. One of such improvement was partial automation of Daily Drilling Report which was historically manually recorded by rig team daily. time performance indicator upstream oil & gas data quality benchmarking kpis low frequency data jnt hr workflow...

... of the key findings of study indicated huge number of working projects, data dissemination, Lack of Standards, incompleteness, inadequate dataflow mechanism and procedures, data redundancy, and inability of data search and access. upstream oil & gas data quality workflow artificial intelligence...

..., such as predictive analytics, artificial intelligence, and business process management. data quality integrity stakeholder information upstream oil & gas knowledge management engineer workflow system example accountability standardization data mining reactivation manager approval digital...

... integration upstream oil & gas data quality presented conference tripathi integrated model framework performance tracking complex reservoir well performance well performance evaluation giant gas condensate field optimization Introduction The IAOM digital platform implementation...