Rate Decline-based Models for Gas Reservoir Performance Prediction in Niger Delta Region (original) (raw)
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Production Rate Decline-Based Models for Oil Reservoir Performance Prediction in Niger Delta
International journal of engineering research and technology, 2017
In the oil and gas industry, reservoir performance analyses are established to facilitate the field development and planning strategies. One of the available tools to perform this analysis is production rate decline analysis. Thus, several models: Arps, Reciprocal and Quadratic model have been developed and fitted to handle this estimation in some oil producing fields in the world. In Niger Delta, no fitted production rate decline models are available in the public domain for the prediction of oil reservoir(s) production performance. In this course, the Arps’ model: Exponential, Harmonic, and Hyperbolic, Reciprocal and Quadratic models were fitted using multivariate analysis to predict the production history: production rate (q) and cumulative production (Np) of an oil field in Niger Delta. The fitted models have decline constants of 0.000353day, 0.000434day, 0.000332day, 0.000403day and 0.000189day for Exponential, Harmonic, Hyperbolic, Reciprocal and Quadratic, respectively. For t...
Decline curve analysis is aimed at predicting well production behaviour at different points in time based on the well past production history. There are three types of decline curve analysis, which are extensively discussed in this paper. This paper focused on determining or extrapolating future production rate of a well using Tega – 3A well as a case study. The well was put on stream in 1970 and produced on J4.0 and J5.0 in 1970. J5.0 was produced to depletion in 1980. It was squeezed off and the well was re-entered in that same year and re-completed on J3.6 and J4.0. The data for this paper were accumulated from J3.6, it had an initial production rate of 1000bbl/day. Its production rate when the data used for this paper was collected was 100bbl/day in the year 2001. J3.6 has since been squeezed off in 2007. This paper will show how decline curve analysis will predict exactly the life span of J3.6, for 27 years that is from 1980 to 2007 INTRODUCTION One of the most important tasks of the petroleum engineer is to predict the amounts of oil and gas that will be recovered from a reservoir.There are four basic methods for predicting recoveries future life of a well,with several variations of each. The four methods are volumetric analysis material balance techniques, decline curve analysis and reservoir simulation. These methods differ substantially in complexity, and there are appropriate applications for each of the techniques.
Production Forecast Using Decline Type Curve (Case Study for Reservoir X, Field Y)
Timor-Leste Journal of Engineering and Science (TLJES), 2021
Decline curve analysis (DCA) is the most commonmethod applied practice in the evaluation of reservoir parametersandto forecast future productionof oil and gas,also to estimate ultimate recovery and reserves.Predicting the production rates from a given well is the most considerable interest in the oil and gas industry. The objective of thiswork presents the use of decline curve analysis to obtain the type of decline, remaining oil reserve and oil productivity in reservoir X field Y.Production data is the only available information which used in DCA, by plotting rate of production versus time for a given well, an extrapolation can be made to provide an estimate of the futurerates of production for that well.Result showsthe types of decline for thesewells are exponential decline curves and the totalEUR for reservoir X from well A, well B and well C started producing until July 2016 was24,835,856.82 with RF 29%. While the total amount of oil reserves that can be taking is 82,316.82 STB for 17 months from January 2015 to July 2016. Keywords:Decline curve analysis, remaining oil reserve, cumulative production and production lifetime.
Application of Decline Curve Analysis to Unconventional Reservoir
2020
Application of Decline Curve Analysis to Unconventional Reservoir Ahmed AlQattan The oil and gas industry has been dealing with the unconventional reservoirs for about only two decades. Consequently, many challenges remain in evaluating the unconventional reservoirs. A few of these obstacles are the absence of the adequate production history, understanding the fluid flow regime after hydraulic fracturing, and estimating the drainage volume of the reservoir. One of the essential elements for evaluation of the oil and reservoir is to estimate the production rates over time in order to investigate the economic potential of the project. Decline Curve Analysis (DCA) is most common the methodology for predicting the production rates over the time based on past production data. However, conventional DCA methods cannot be applied to unconventional reservoir due to lack of sufficient and consistent past production history. Accordingly, several DCA methods (Arps, PLE, SPED, and Duong) have be...