Determination of Preferential Flow Direction in a Low Permeability Carbonate Reservoir Through Real-Time Data and Rate Transient Analysis RTA

2016 ◽  
Author(s):  
R. Alcantara ◽  
J. L. Vazquez ◽  
M. Briones
Keyword(s):  
Real Time ◽  
Transient Analysis ◽  
Preferential Flow ◽  
Flow Direction ◽  
Carbonate Reservoir ◽  
Low Permeability ◽  
Time Data ◽  
Rate Transient Analysis ◽  
Real Time Data

Applying Rate Transient Analysis (RTA) to integrate geological and engineering data

2013 ◽  
Vol 53 (2) ◽  
pp. 473
Author(s):  
Nicholas Kwok
Keyword(s):  
Transient Analysis ◽  
Initial Pressure ◽  
Low Permeability ◽  
Late Time ◽  
Reservoir Pressure ◽  
Potential Consequence ◽  
Time Data ◽  
Engineering Data ◽  
Rate Transient Analysis ◽  
Measured Property

The Blasingame typecurve in Fekete’s Rate Transient Analysis (RTA) software has been used at Santos to increase the understanding and integration of well and reservoir data; however, the authors have discovered that in some cases the tool produced anomalous results, such as permeability being too low. The potential consequence of this was incorrectly writing off reserves or making projects (in particular compression projects) fail economic tests. After testing various hypotheses, a simple yet unorthodox solution was only discovered in a field where the anomaly was more profound, and required integrating geology and geophysics to explain it. This solution has since been applied in RTA models across numerous other fields, and it has improved the quality and confidence of these models. The solution was the realisation that in many cases the accessed gas in place (GIP) increased over time, but the underlying model in RTA assumes a single tank, linear P/z. Matching the RTA model with the initial reservoir pressure and final accessed GIP results in over-predicting the reservoir pressures, resulting in an artificially low permeability. The authors discovered that the appropriate well and reservoir parameters could be obtained by matching the late time data using a lower initial reservoir pressure value corresponding to when the well had accessed the final GIP volume but not the initial reservoir pressure. This step was initially regarded to be counter-intuitive as the initial pressure is a measured property. Numerous reviews have endorsed this methodology, which is now being used as a standard at Santos.

399-P: Nurse-Driven Intervention Using Real-Time Data to Improve Hypoglycemia Rates in a Respiratory Care Unit

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER
Keyword(s):  
Real Time ◽  
Respiratory Care ◽  
Time Data ◽  
Real Time Data

Real-time data stream analysis and entire process quality monitoring based on plant information

2013 ◽  
Vol 32 (10) ◽  
pp. 2935-2939
Author(s):  
Xiao-yong BIAN ◽  
Xiao-long ZHANG ◽  
Hai YU
Keyword(s):  
Real Time ◽  
Data Stream ◽  
Process Quality ◽  
Quality Monitoring ◽  
Time Data ◽  
Entire Process ◽  
Real Time Data ◽  
Data Stream Analysis

Washington’s 'Cutting-Edge' Technology Solution to Combating Sales Tax Fraud: Real-Time Data (Now), Real-Time Remittance in the Future

2020 ◽  
Author(s):  
Richard Thompson Ainsworth ◽  
Robert Chicoine ◽  
Andrew Leahey ◽  
Sunder Gee
Keyword(s):  
Real Time ◽  
Cutting Edge ◽  
Sales Tax ◽  
Time Data ◽  
Real Time Data ◽  
The Future ◽  
Tax Fraud ◽  
Technology Solution

A Scheme for Real-time Data Control in Automotive Systems

2018 ◽  
Vol 2 (2) ◽  
pp. 7-12
Author(s):  
Jin-yeong Um ◽  
Keyword(s):  
Real Time ◽  
Time Data ◽  
Automotive Systems ◽  
Data Control ◽  
Real Time Data

Neural network prediction model for a real-time data transmission

2006 ◽  
Vol 15 (3-4) ◽  
pp. 373-382 ◽  
Author(s):  
Kil To Chong ◽  
Sung Goo Yoo
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Real Time ◽  
Data Transmission ◽  
Time Data ◽  
Real Time Data ◽  
Neural Network Prediction ◽  
Network Prediction
Sign in / Sign up

Export Citation Format

Share Document