Well Predictive Material Balance Evaluation: A Quick Tool for Reservoir Performance Analysis

2012 ◽  
Author(s):  
Chukwuemeka Nwaokorie ◽  
Ikwan Ukauku
Keyword(s):  
Performance Analysis ◽  
Material Balance ◽  
Reservoir Performance

Production Prediction of Hydraulically Fractured Reservoirs Based on Material Balances

2019 ◽  
Author(s):  
Raul Velasco ◽  
Palash Panja ◽  
Milind Deo
Keyword(s):  
Performance Analysis ◽  
Transient Flow ◽  
Flow System ◽  
Fractured Reservoirs ◽  
Material Balance ◽  
Predictive Tool ◽  
Linear Flow ◽  
Reservoir Performance ◽  
New Novel ◽  
Conventional Material

Transient flow is dominant during most of the productive life of unconventional wells in ultra-low permeabilities resources such as shales. As a result, traditional reservoir performance analysis such as the conventional material balance have been rendered inapplicable. A new novel semi-analytical production predictive tool based on application of material balance on a transient linear flow system is developed.

Production Prediction of Hydraulically Fractured Reservoirs Based on Material Balances

2019 ◽  
Author(s):  
Raul Velasco ◽  
Palash Panja ◽  
Milind Deo
Keyword(s):  
Performance Analysis ◽  
Transient Flow ◽  
Flow System ◽  
Fractured Reservoirs ◽  
Material Balance ◽  
Predictive Tool ◽  
Linear Flow ◽  
Reservoir Performance ◽  
New Novel ◽  
Conventional Material

Transient flow is dominant during most of the productive life of unconventional wells in ultra-low permeabilities resources such as shales. As a result, traditional reservoir performance analysis such as the conventional material balance have been rendered inapplicable. A new novel semi-analytical production predictive tool based on application of material balance on a transient linear flow system is developed.

scholarly journals Reservoir Performance Prediction using Integrated Production Modelling (MBAL Software)

2019 ◽  
Vol 8 (4) ◽  
pp. 1484-1489
Keyword(s):  
Performance Prediction ◽  
History Matching ◽  
Material Balance ◽  
Development Planning ◽  
Reservoir Rock ◽  
Rock Properties ◽  
Production Operation ◽  
Gas Field ◽  
Reservoir Performance ◽  
Fluid Properties

Reservoir performance prediction is important aspect of the oil & gas field development planning and reserves estimation which depicts the behavior of the reservoir in the future. Reservoir production success is dependent on precise illustration of reservoir rock properties, reservoir fluid properties, rock-fluid properties and reservoir flow performance. Petroleum engineers must have sound knowledge of the reservoir attributes, production operation optimization and more significant, to develop an analytical model that will adequately describe the physical processes which take place in the reservoir. Reservoir performance prediction based on material balance equation which is described by Several Authors such as Muskat, Craft and Hawkins, Tarner’s, Havlena & odeh, Tracy’s and Schilthuis. This paper compares estimation of reserve using dynamic simulation in MBAL software and predictive material balance method after history matching of both of this model. Results from this paper shows functionality of MBAL in terms of history matching and performance prediction. This paper objective is to set up the basic reservoir model, various models and algorithms for each technique are presented and validated with the case studies. Field data collected related to PVT analysis, Production and well data for quality check based on determining inconsistencies between data and physical reality with the help of correlations. Further this paper shows history matching to match original oil in place and aquifer size. In the end conclusion obtained from different plots between various parameters reflect the result in history match data, simulation result and Future performance of the reservoir system and observation of these results represent similar simulation and future prediction plots result.

The Estimation of Aquifer Properties From Reservoir Performance in Water-Drive Fields

1977 ◽  
Vol 99 (2) ◽  
pp. 345-352 ◽  
Author(s):  
A. T. Chatas
Keyword(s):  
Least Squares ◽  
Material Balance ◽  
Dimensionless Form ◽  
Simultaneous Solution ◽  
Method Of Least Squares ◽  
Normal Equations ◽  
Aquifer Parameters ◽  
Reservoir Performance ◽  
Analytical Functions ◽  
Aquifer Properties

The purpose of this paper is to indicate a method for estimating values of specified aquifer parameters from an investigation of the reservoir performance of an associated oilfield. To achieve this objective an analysis was made of the simultaneous solution of the material-balance and diffusivity equations, followed by an application of the method of least squares. Three analytical functions evolved, which in dimensionless form were numerically evaluated by computer and tabulated herein. Application of the proffered method requires the simultaneous solution of the three normal equations developed in the paper.

Reservoir Performance Analysis of Arab "D" Zone (Bahrain Field)

1983 ◽  
Author(s):  
Challa R.K. Murty ◽  
Mohammed Fathalla ◽  
Faisal M. Al-Mahroos
Keyword(s):  
Performance Analysis ◽  
Reservoir Performance

A Compositional Rescaled Exponential Model for Multiphase-Production-Performance Analysis of Boundary-Dominated Gas/Condensate Reservoirs

SPE Journal ◽  
2018 ◽  
Vol 24 (02) ◽  
pp. 618-646
Author(s):  
Ryan Will ◽  
Qian Sun ◽  
Luis F. Ayala
Keyword(s):  
Performance Analysis ◽  
Numerical Models ◽  
Compositional Analysis ◽  
Gas Condensate ◽  
Production Performance ◽  
Analytical Models ◽  
Reservoir Modeling ◽  
Well Performance ◽  
Reservoir Performance ◽  
Hydrocarbon Reservoir

Summary Hydrocarbon-reservoir-performance forecasting is an integral component of the resource-development chain and is typically accomplished using reservoir modeling, by means of either numerical or analytical methods. Although complex numerical models provide rigorous means of capturing and predicting reservoir behavior, reservoir engineers also rely on simpler analytical models to analyze well performance and estimate reserves when uncertainties exist. Arps (1945) empirically demonstrated that certain reservoirs might decline according to simple, exponential, hyperbolic, or harmonic relationships; such behavior, however, does not extend to more-complex scenarios, such as multiphase-reservoir depletion. Because of this limitation, an important research area for many years has been to transform the equations governing flow through porous media in such a way as to express complex reservoir performance in terms of closed analytical forms. In this work, we demonstrate that rigorous compositional analysis can be coupled with analytical well-performance estimations for reservoirs with complex fluid systems, and that the molar decline of individual hydrocarbon-fluid fractions can be expressed in terms of rescaled exponential equations for well-performance analysis. This work demonstrates that, by the introduction of a new partial-pseudopressure variable, it is possible to predict the decline behavior of individual fluid constituents of a variety of gas/condensate-reservoir systems characterized by widely varying richness and complex multiphase-flow scenarios. A new four-region-flow model is proposed and validated to implement gas/condensate-deliverability calculations at late times during variable-bottomhole-pressure (BHP) production. Five case studies are presented to support each of the model capabilities stated previously and to validate the use of liquid-analog rescaled exponentials for the prediction of production-decline behavior for each of the hydrocarbon species.

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