... unwanted events, other unqualified data are intrinsically bad and will fool future algorithms designed to automate or maintain the geothermal process. upstream oil & gas master data digital transformation fail data quality geothermal facility maintenance artificial intelligence boolean...

... oil & gas hot spot holistic hull structure monitoring data quality floating production system calculation strain gauge measurement fpso floating production storage and offloading stress statistics statistics relative wave sensor deck level floating production storage & offloading...

... evaluated via traditional operability analysis methods involving statistically predicted environmental conditions. data quality information management artificial intelligence application framework upstream oil & gas trajectory riser environmental condition dynamic watch circle real time...

... penalty correction data quality separator standard condition mpfm measurement production monitoring process condition separator measurement reconciled value flowrate upstream oil & gas validation validation process redundancy data validation performance criteria Introduction...

... the enhanced data quality for improved analytics as discussed above, but it does allow the redeployment of LCC operators to an RCC. Fewer Field Operators and Maintenance Technicians Through the Automation of Select Manual Tasks Automating routine operations tasks Table 1 Typical distribution...

... estimate measured data environmental data data quality floating production storage & offloading floating production storage and offloading riser floating system offshore technology conference design method sensor Through automation, digital twin models, industrial internet of things...

... data quality reservoir surveillance production control production monitoring modeling & simulation reconciliation information col production logging measurement value dvr measurement error reconciled value base case reservoir simulation separator composition flowmeter flow...

... of seismic data. Therefore, in the development oilfield with poor seismic data quality, we use attribute modeling method to construct high-precision 3D geostress field to help analyze the wellbore stability of oilfield development wells. First, 3D structural model is created by using seismic interpretation...

... placement and derisking drilling operations; 5) optimization of seismic acquisition programs in combination with conventional downhole three-component (3C) seismic tools; and 6) seismic data quality assurance resulting from measurement during the drilling process with minimum disruption (intermediate...

.... dataset data quality valuation upstream oil & gas hole size provide insight technology development operator commercial valuation application new technology reliability information hypersonic impact drilling concept drilling operation database innovation offshore technology conference...

... learning, artificial intelligence, or digital twins. Bad quality and erroneous data can result in inaccurate predictions even if the model is otherwise robust. Ensuring data quality is more critical in real- time applications where there is no human in the loop to perform sense checks on data or results...

... in this paper help answer business questions to make better business decisions through data-driven analytics. drill bit drilling operation drilling record system bit selection manufacturer dimension dashboard dr olap cube evaluation upstream oil & gas data quality online analytical...

... Abstract A fully unmanned surface vessel/remotely operated vehicle (USV/ROV) system—controlled remotely from shore and providing inspection and light intervention services—could deliver many benefits during offshore operations including increased safety, cost effectiveness, and data quality...

... and by defining evaluation criteria for risk control measures. ERP data need to be made object-specific, e.g. inspection results and malfunction data should be recorded explicitly by technical tag. Reliability and Maintenance data quality management practices are a key consideration. Additional topics pertaining...

... a validation pipeline, and how it can help other algorithms make better decisions. Our approach uses statistical principles, machine learning and advanced analytics. The method is ISO 8000 compliant and can provide a framework in data management and data quality for companies to use. Depending...

... This paper is a subsurface introduction to the Hebron Field focusing on field discovery, delineation and development project history as well as geoscience and reservoir background. We will show how field understanding has evolved over time and how technology and data quality improvements...

... to support classification requirements without the need for intrusive inspections. The second delivery was a data quality assessment report to demonstrate how data quality can be measured and ensure that there is high confidence in alternative compliance approaches. The third delivery was an optimized...

... and quality demands. The data quality and resolution that AUVs deliver are seen as the major contributing factors in de-risking projects, starting from the FEED stage. AUV technology has developed to such a degree that since October 2012, DOF Subsea reliability figures of over 320 dives yielding +25000km...

... for acquisition of swath bathymetry data. The resulting seabed and sub-seabed imagery were far superior to preceding imagery. In 2007, another step change in data quality was achieved with the acquisition of the first ever deep-water AUV survey acquired in the Caspian Sea. Using a Hugin 3000 vehicle...

..., the study is based on existing production data from a live well in which extensive data quality checks were necessary prior to sharing the data with VFM suppliers. Such effort led to consistent and conclusive results from at least three VFM packages that completed all three study rounds. The findings from...