Gas production forecasting using automatic type curve matching

As the demand for natural gas has increased in the last years, also the need for forecast reliable gas recoveries. Gas type curves are one of the methods utilized to estimate future well performance. The purpose of this study is the utilization of the Aminian et al type curves to model gas well performance. Unlike other studies developed in the past, Aminian et al type curves account for important factors ignored in the derivation of the proposed theoretical solutions. Thus, the pressure dependency of gas viscosity and compressibility, as well as the pressure loss owing to non-Darcy flow, make of these solutions quite accurate to model gas wells decline.;Different history productions were matched with these type curves using a computer program, which find the closest production decline to the available time/gas rate. In order to find the matched type curve, the program iterate on non-Darcy effects, bottom hole flowing pressure, and initial gas in place, which are the required variables to generate a type curve. The consistency of the computer program was verified by using gas productions of 25%, 50% and 75% of the total gas production of gas wells with moderate and low permeabilities. Satisfactory predictions were obtained for the different scenarios analyzed, finding the prediction of the bottom hole flowing pressure sensible to the amount of data utilized for the predictions

Shared genetic risk between eating disorder- and substance-use-related phenotypes:Evidence from genome-wide association studies

First published: 16 February 202