... Intelligence optimization problem absolute error selection data quality effect percentage GOR different multiphase flow correlation best correlation Base Run low effect pressure drop data Error actual data flow metering Fluid Dynamics flow correlation input parameter maximum absolute error...

... that sulfates ions are the most effective in partial release of adsorbed stearic acid from calcite surface. data quality ionic strength enhanced recovery brine ionic strength mechanism waterflooding Brine stearic acid calcite weight loss Upstream Oil & Gas single ion brine composition...

... Abstract Improving seismic data quality prior to acoustic impedance (AI) inversion is one of the main challenges for interpreters. Proper reprocessing of seismic data may attenuate most of the noise and multiples but it can be costly and time-consuming. Therefore, while data reprocessing...

..., yielding a better history match and improved predictions to enable more informed engineering decisions to be made. This is the first successful application of seismic monitoring of a carbonate reservoir in an area renowned for poor seismic data quality. To overcome the challenges, a novel hybrid...

...: improved data quality, improved user experience, and the support for the offline reports. To improve data quality, the system is equipped with several client side data validation rules while the user is entering the data for each section of the morning report. The new data entry facilitates...

... Abstract Modern seismic acquisition is trending toward recording high-channel count data with smaller field arrays or single sensors. Reducing the size of field arrays leads to a deterioration of data quality. Many processing steps requiring estimation of prestack parameters become more...

... of the developed utility for dynamic simulation model update. The conceptual examples shared in this paper demonstrate the benefits of this genuine software utility in terms of data integration and efficiency. Modeling & Simulation real time system history matching data quality new data pressure...

... big data ruleset operation Upstream Oil & Gas business rule application data quality API database management strategy society of petroleum engineers heterogeneous environment data type information management repository data record data mining well data quality data source...

... the data sets before they are integrated into the simulation model to enhance the quality of the model, produce accurate results and reduce the time for simulation engineers to manage the data quality. There are many methods to manage data quality; however, Business Intelligence offers a wide range...

..., there are specific cases where the new technology can generate improved formation evaluation in carbonate formations or increase efficiency by logging faster. data quality new tool well logging log analysis Herron mineralogy inelastic spectra Saudi Arabia elemental concentration spectra carbonate...

... real time system pressure transient analysis well logging proett differential formation testing formation tester straddle packer data quality Upstream Oil & Gas flow rate operation formation pressure configuration mobility drawdown mobility oval probe permeability Probe...

... on conventional seismic amplitude displays. Artificial Intelligence wavelet transform Time Slice data quality seismic data edge detection application Saudi Arabia Upstream Oil & Gas information RWT algorithm Reservoir Characterization Channel Detection detection input data channel...

... with the vendor throughout the data acquisition program. The QC/QA analysis used in this study can improve the performance of these vendors and the quality of data. core analysis upstream oil & gas water saturation log analysis limestone sample porosity reduction lab 1 data quality exponent...

... algorithms for automated surface tracking. Motion with the use of optimum color and opacity helps the interpreter recognize and isolate sand channels and geobodies ( Meyer, et al., 2001) . Fault Interpretation Data Conditioning Seismic data quality plays an important role in the interpretation...

... standardization, Data filtration and compression, Data quality control, Data quality and transmission key performance Indices, Data visualization, and Systems reliability and availability. Also the paper highlights the challenges in intelligent field real time data management to meet intelligent field data...