... exhibition condensate reservoir workflow 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...

... of the entire field, and then can easily spot the areas with high number of inconsistencies or potential errors. This tool assists reservoir engineers on data quality check and analyzing the historical production-injection data in an effective manner and provide alternative allocation scenarios to facilitate...

... 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...

... 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...

... oil & gas methane emission combustion reaction relation emission climate change equation predictive emission monitoring system petroleum engineer society scale pem implementation air emission data quality operation pem tracking ghg analyser criteria pollutant Introduction...

... the foundation to sustain growth and a competitive edge in the digital age by applying deeper and more targeted analytics that enable better business decision-making, such as predictive analytics, artificial intelligence, and business process management. data quality integrity stakeholder information...

... Abstract Log and core data has been collected in the mature supergiant fields of the Middle East over many decades with variable data quality and vintages. These data could be affected by artifacts created by borehole conditions, different logging tools, water- or oil-based mud systems...

.... The framework manages several key components of the data journey, such as data transmission standards, data quality protocol, communication infrastructure monitoring and automated notification process to address any issue in real-time. The first step is to transform all rigs to adopt the latest industrial...

... and summarize similarities and differences between different static realizations. The implementation of reservoir property dashboards proved to be an effective practice to increase the understanding of distributed properties inside static grids. A more comprehensive and detailed data quality check can...

... information management data quality foundation dashboard production data management artificial intelligence production control condensate information fusion reservoir surveillance successful implementation abu dhabi international petroleum exhibition requirement connectivity workflow digital...

... wavelet data quality deconvolution embedded wavelet interpretation seismic processing spatial Introduction The ultra-high density 3D seismic pilot has been acquired in 2019 using autonomous recording ‘nimble node’ sensor within an onshore area of 81 sq. km compare to the existing legacy...

... Background and Strategy The purpose of digitalization is to enable automation, increase data understanding, improve data quality, and collect and structure all that data so we can apply advanced technology, such as better and smarter software and analytics. The probable outcome of digitalization...

... a volumetric elastic model was available to assess the feasibility for new seismic acquisition. log analysis upstream oil & gas reservoir characterization well logging data quality pem reservoir geomechanics structural geology variation reservoir property elastic property petroelastic...

...Well data Related uncertainty can be set as a constant value or as a map describing the interpretation in different areas. Uncertainty specified here is a direct function of seismic data quality, i.e. seismic resolution. Seismic spectrum analysis performed on the field seismic data showed...

... reconstructed to a dense shot grid. We also show that CS acquisition is a reliable alternative to conventional acquisition from which high-quality subsurface images can be formed. reservoir characterization dense cs data data quality acquisition exclusion zone reconstruction upstream oil & gas...

... Abstract Drilling data quality is notoriously a challenge for any analytics application, due to complexity of the real-time data acquisition system which routinely generates: (i) Time related issues caused by irregular sampling, (ii) Channel related issues in terms of non-uniform names...

... with existing test results, enabling end users to run sensitivity and scenario analysis so on and so forth. reservoir geomechanics machine learning wellbore integrity optimization problem data quality wellbore design typical workflow upstream oil & gas calculation regression framework...

... information can support the reservoir history matching process, production allocation, and develop models for reservoir performance prediction. data quality upstream oil & gas machine learning deep learning imputation pseudocode artificial intelligence accuracy randomized tree adaptive...

... model vfm prediction production control artificial intelligence separator vfm solution data quality upstream oil & gas flow rate health index data driven virtual flow metering autonomous operation virtual flow metering test separator dashboard operation sensor data workflow flow...