A New Approach to Reserves Estimation in Shale Gas Reservoirs Using Multiple Decline Curve Analysis Models

2012 ◽  
Author(s):  
Srikanta Mishra
Keyword(s):  
Shale Gas ◽  
Curve Analysis ◽  
Gas Reservoirs ◽  
New Approach ◽  
Decline Curve Analysis ◽  
Shale Gas Reservoirs ◽  
Decline Curve ◽  
Analysis Models

Empirical methods of decline-curve analysis for shale gas reservoirs: Review, evaluation, and application

2020 ◽  
Vol 83 ◽  
pp. 103531
Author(s):  
Hong-Bin Liang ◽  
Lie-Hui Zhang ◽  
Yu-Long Zhao ◽  
Bo-Ning Zhang ◽  
Cheng Chang ◽  
...  
Keyword(s):  
Shale Gas ◽  
Curve Analysis ◽  
Empirical Methods ◽  
Gas Reservoirs ◽  
Decline Curve Analysis ◽  
Shale Gas Reservoirs ◽  
Decline Curve

scholarly journals Methods of Decline Curve Analysis for Shale Gas Reservoirs

Energies ◽  
2018 ◽  
Vol 11 (3) ◽  
pp. 552 ◽  
Author(s):  
Lei Tan ◽  
Lihua Zuo ◽  
Binbin Wang
Keyword(s):  
Shale Gas ◽  
Curve Analysis ◽  
Gas Reservoirs ◽  
Decline Curve Analysis ◽  
Shale Gas Reservoirs ◽  
Decline Curve

scholarly journals The Evaluation and Sensitivity of Decline Curve Modelling

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2765
Author(s):  
Prinisha Manda ◽  
Diakanua Nkazi
Keyword(s):  
Shale Gas ◽  
Goodness Of Fit ◽  
Accuracy Assessment ◽  
Gas Production ◽  
Production Performance ◽  
Logistic Growth ◽  
Gas Reservoirs ◽  
Shale Gas Reservoirs ◽  
Decline Curve ◽  
Exponential Decline

The development of prediction tools for production performance and the lifespan of shale gas reservoirs has been a focus for petroleum engineers. Several decline curve models have been developed and compared with data from shale gas production. To accurately forecast the estimated ultimate recovery for shale gas reservoirs, consistent and accurate decline curve modelling is required. In this paper, the current decline curve models are evaluated using the goodness of fit as a measure of accuracy with field data. The evaluation found that there are advantages in using the current DCA models; however, they also have limitations associated with them that have to be addressed. Based on the accuracy assessment conducted on the different models, it appears that the Stretched Exponential Decline Model (SEDM) and Logistic Growth Model (LGM), followed by the Extended Exponential Decline Model (EEDM), the Power Law Exponential Model (PLE), the Doung’s Model, and lastly, the Arps Hyperbolic Decline Model, provide the best fit with production data.

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