Traditional decline curve analyses (DCAs), both deterministic and probabilistic, use specific models to fit production data for forecasting. Various have been applied unconventional wells, including the Arps model, stretched exponential Duong combined capacitance-resistance model. However, it is not straightforward determine which model should be used, as multiple may a dataset equally well but...

This paper presents new production decline curves for analyzing well production data from radial and vertically fractured oil and gas wells. These curves have been developed by combining decline-curve and type-curve analysis concepts to result in a practical tool which we feel can more easily estimate the gas ~or oil! in place as well as to estimate reservoir permeability, skin effect, fracture...

A review of field production data reveals that usually, it is very difficult to apply available decline models because of poor quality and often noisy character of initial data and also unrealistic assumptions of the models. This paper tries to introduce applicable procedures to correct initial data and reproduce missed data. Corrected data are analyzed and finally, the results for permeability...

distribution of the response variable are expressed as non-linear functions of the covariates. The non-linear quantile regression method would be used in a real field data related to production history in hydrocarbon reservoirs. Analysis of declining production rates and forecasting future performance of oil and gas wells is called decline curve analysis in petroleum engineering literature. Dec...