Determination Of Fissure Volume And Block Size In Fractured Reservoirs By Type-Curve Analysis

Rate-time decline curve analysis is a major technique which is mostly used in petroleum engineering. Many methods are used for the determination of the decrease in the production rate within a given period of time. The main disadvantage of Arp’s decline type curve analysis is that it is only used for boundary dominated flow period; it is not used for transient flow period. The analysis of the Fetkovich is to determine the log-log type curve for both the transient flow period (early time period or infinite) and boundary-dominated flow period (late time period). Arps developed the type curve which shows the production rate decline with time for the finite reservoir or late time period. The exponential or constant flow decline, hyperbolic decline, and harmonic decline according to the value of decline curve exponent (b) is given by Arps. After that Fetkovich improved on earlier work done by Arps in predicting decline production rate of wells over a given period of time. The main objective of this study was to plotting the rate transient analysis curve. I will plot the Fetkovich type curve (combined early and late times region). The graph will be plotted between the dimensionless decline flow rate (qDd) and the dimensionless decline time” (tDd). This will be the objective of the study.

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An Investigation of Pressure and Production Data Using Decline and Type Curve Analysis

Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology ◽

10.1115/omae2017-62472 ◽

2017 ◽

Author(s):

Arifur Rahman ◽

Fatema Akter Happy ◽

Mahbub Alam Hira ◽

M. Enamul Hossain

Keyword(s):

History Matching ◽

Fractured Reservoirs ◽

Curve Analysis ◽

The Other ◽

Production Data ◽

Type Curve ◽

Type Curves ◽

Decline Curve Analysis ◽

Decline Curve ◽

Analysis Technique

Decline curve analysis is one of the most widely used production data analysis technique for forecasting whilst type curve analysis is a graphical representation technique for history matching and forecasting. The combination of both methods can estimate the reserves and the well/reservoir parameters simultaneously. The purpose of this study is to construct the new production decline curves to analyze the pressure and production data. These curves are constructed by combining decline curve and a type curve analysis technique that can estimate the existing reserves and determine the other well/reservoir parameters for gas wells. The accuracy of these parameter estimations depends on the quality and type of the pressure and production data available. This study illustrates the conventional decline curve that can be used to analyze the gas well performance data with type curves based on pseudo time function. On the other hand, log-log plots are used as a diagnostic tool to identify the appropriate reservoir model and analogous data trend. Pressure derivative and type curves are used to construct a radial model of the reservoir. In addition, Blasingame and Fetkovich type curves analysis are also presented in a convenient way. The decline curve analysis shows steady state production for a long time, then a decline is observed which indicates a boundary dominated flow. The Blasingame type curve matching points is going downward, which indicate the influence of another nearby well. The reservoir parameters that are obtained by using the decline curve and type curves analysis show a similar trend and close match for different approaches. These observations closely match results of different analysis. This analysis improves the likelihood of the results being satisfactory and reliable, though it changes with time until the end of the production period. This analysis technique can be extended to other type of well/reservoir system, including horizontal wells and fractured reservoirs.

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Determination of Injection-Production Ratio Size by Type-curve Analysis

10.2118/57320-ms ◽

1999 ◽

Cited By ~ 5

Author(s):

Jianxia Dong ◽

Yunfang Zhai ◽

Jing Yang ◽

Chunshen Zhao

Keyword(s):

Curve Analysis ◽

Type Curve ◽

Production Ratio ◽

Ratio Size

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Determination of the latent heat of fusion and solid fraction evolution of metals and alloys by an improved cooling curve analysis method

Journal of Thermal Analysis and Calorimetry ◽

10.1007/s10973-019-08904-3 ◽

2019 ◽

Vol 140 (4) ◽

pp. 1825-1836 ◽

Cited By ~ 1

Author(s):

Carlos González-Rivera ◽

Anthony Harrup ◽

Carla Aguilar ◽

Adrián M. Amaro-Villeda ◽

Marco A. Ramírez-Argáez

Keyword(s):

Latent Heat ◽

Solid Fraction ◽

Metals And Alloys ◽

Curve Analysis ◽

Cooling Curve ◽

Heat Of Fusion ◽

Analysis Method ◽

Latent Heat Of Fusion ◽

Cooling Curve Analysis

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Right choice of a method for determination of cut-off values: A statistical tool for a diagnostic test

Asian Journal of Medical Sciences ◽

10.3126/ajms.v5i3.9296 ◽

2014 ◽

Vol 5 (3) ◽

pp. 30-34 ◽

Cited By ~ 19

Author(s):

Balkishan Sharma ◽

Ravikant Jain

Keyword(s):

Logistic Regression ◽

Discriminant Analysis ◽

Diagnostic Test ◽

Roc Curve ◽

Traditional Method ◽

Statistical Technique ◽

Curve Analysis ◽

Operating Characteristics ◽

Roc Curve Analysis

Objective: The clinical diagnostic tests are generally used to identify the presence of a disease. The cutoff value of a diagnostic test should be chosen to maximize the advantage that accrues from testing a population of human and others. When a diagnostic test is to be used in a clinical condition, there may be an opportunity to improve the test by changing the cutoff value. To enhance the accuracy of diagnosis is to develop new tests by using a proper statistical technique with optimum sensitivity and specificity. Method: Mean±2SD method, Logistic Regression Analysis, Receivers Operating Characteristics (ROC) curve analysis and Discriminant Analysis (DA) have been discussed with their respective applications. Results: The study highlighted some important methods to determine the cutoff points for a diagnostic test. The traditional method is to identify the cut-off values is Mean±2SD method. Logistic Regression Analysis, Receivers Operating Characteristics (ROC) curve analysis and Discriminant Analysis (DA) have been proved to be beneficial statistical tools for determination of cut-off points.Conclusion: There may be an opportunity to improve the test by changing the cut-off value with the help of a correctly identified statistical technique in a clinical condition when a diagnostic test is to be used. The traditional method is to identify the cut-off values is Mean ± 2SD method. It was evidenced in certain conditions that logistic regression is found to be a good predictor and the validity of the same can be confirmed by identifying the area under the ROC curve. Abbreviations: ROC-Receiver operating characteristics and DA-Discriminant Analysis. Asian Journal of Medical Science, Volume-5(3) 2014: 30-34 http://dx.doi.org/10.3126/ajms.v5i3.9296

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