Analysis of Multi-Rate Test Data Distorted by Wellbore Storage

2004 ◽  
Author(s):  
A.A. Sulaimon ◽  
O. Omole
Keyword(s):  
Test Data ◽  
Wellbore Storage ◽  
Rate Test

scholarly journals Explicit Deconvolution of Well Test Data Dominated by Wellbore Storage

2014 ◽  
Vol 2014 ◽  
pp. 1-12
Author(s):  
K. Razminia ◽  
A. Hashemi ◽  
A. Razminia ◽  
D. Baleanu
Keyword(s):  
Test Data ◽  
Material Balance ◽  
Early Time ◽  
Time Behavior ◽  
Well Test ◽  
Deconvolution Method ◽  
Pressure Data ◽  
Practical Applications ◽  
Wellbore Storage ◽  
Storage Effects

This paper addresses some methods for interpretation of oil and gas well test data distorted by wellbore storage effects. Using these techniques, we can deconvolve pressure and rate data from drawdown and buildup tests dominated by wellbore storage. Some of these methods have the advantage of deconvolving the pressure data without rate measurement. The two important methods that are applied in this study are an explicit deconvolution method and a modification of material balance deconvolution method. In cases with no rate measurements, we use a blind deconvolution method to restore the pressure response free of wellbore storage effects. Our techniques detect the afterflow/unloading rate function with explicit deconvolution of the observed pressure data. The presented techniques can unveil the early time behavior of a reservoir system masked by wellbore storage effects and thus provide powerful tools to improve pressure transient test interpretation. Each method has been validated using both synthetic data and field cases and each method should be considered valid for practical applications.

Semi-analytical solution to pumping test data with barrier, wellbore storage, and partial penetration effects

2017 ◽  
Vol 226 ◽  
pp. 44-51 ◽  
Author(s):  
Yong-Xia Wu ◽  
Jack Shuilong Shen ◽  
Wen-Chieh Cheng ◽  
Takenori Hino
Keyword(s):  
Analytical Solution ◽  
Test Data ◽  
Pumping Test ◽  
Partial Penetration ◽  
Wellbore Storage

Estimating Non-Darcy Flow Coefficient from Buildup Test Data With Wellbore Storage

2002 ◽  
Author(s):  
J.P. Spivey ◽  
K.G. Brown ◽  
W.K. Sawyer ◽  
J.H. Frantz
Keyword(s):  
Test Data ◽  
Flow Coefficient ◽  
Darcy Flow ◽  
Wellbore Storage

Analysis of Interference Test Data Influenced by Wellbore Storage and Skin at the Flowing Well

1980 ◽  
Vol 32 (01) ◽  
pp. 171-178 ◽  
Author(s):  
Wei Chun Chu ◽  
J. Garcia-Rivera ◽  
Raghavan Rajagopoal
Keyword(s):  
Test Data ◽  
Wellbore Storage ◽  
Interference Test ◽  
Flowing Well

The Influence of Vertical Fractures Intercepting Active and Observation Wells on Interference Tests

1982 ◽  
Vol 22 (06) ◽  
pp. 933-944 ◽  
Author(s):  
Naelah A. Mousli ◽  
Rajagopal Raghavan ◽  
Heber Cinco-Ley ◽  
Fernando Samaniego-V.
Keyword(s):  
Test Data ◽  
A Priori ◽  
Pressure Response ◽  
Fracture Plane ◽  
Observation Well ◽  
Compass Orientation ◽  
Vertical Fracture ◽  
Wellbore Storage ◽  
Interference Test ◽  
Observation Wells

Abstract This paper reviews pressure behavior at an observation well intercepted by a vertical fracture. The active well was assumed either unfractured or intercepted by a fracture parallel to the fracture at the observation well. We show that a vertical fracture at the observation well has a significant influence on the pressure response at that well, and therefore wellbore conditions at the observation well must be considered. New type curves presented can be used to determine the compass orientation of the fracture plane at the observation well. Conditions are delineated under which the fracture at the observation well may influence an interference test. This information should be useful in designing and analyzing tests. The pressure response curve at the observation well has no characteristic features that will reveal the existence of a fracture. The existence of the fracture would have to be known a priori or from independent measurements such as single-well tests. Introduction In this work, we examine interference test data for the influence of a vertical fracture located at the observation well. All studies on the subject of interference testing have been directed toward understanding the effects of reservoir heterogeneity or wellbore conditions at the active (flowing) well. Several correspondents suggested our study because many field tests are conducted when the observation well is fractured. They also indicated that it is not uncommon for both wells (active and observation) to be fractured. To the best of our knowledge, this is the first study to examine the influence of a vertical fracture at the observation well on interference test data. Two conditions at the active well are examined: an active well that is unfractured (plane radial flow) and an active well that intercepts a vertical fracture parallel to the fracture at the observation well. The parameters of interest include effects of the distance between the two wells, compass orientation of the fracture plane with respect to the line joining the two wellbores, and the ratio of the fracture lengths at the active and observation wells if both wells are fractured. The results given here should enable the analystto interpret the pressure response at the fractured observation well.to interpret the pressure response when both the active and the observation wells are fracturedto design tests to account for the existence of a fracture at one or both wells, andto determine quantitatively the orientation and/or length of the fracture at an observation well. We also show that one should not assume a priori that the effect of a fracture on the observation well response will be similar to that of a concentric skin region around the wellbore-i.e., idealizations to incorporate the existence of the fracture, such as the effective wellbore radius concept, may not be applicable. Mathematical Model and Assumptions In this study, we consider the flow of a slightly compressible fluid of constant viscosity in a uniform and homogeneous porous medium of infinite extent. Fluid is produced at a constant surface rate at the active well. Wellbore storage effects are assumed negligible because the main objective of our work is to demonstrate the influence of the fractures. However, note that wellbore storage effects may mask the early-time response at the observation well. Refs. 1 and 2 discuss the influence of wellbore storage on interference test data. We obtained the solutions to the problems considered here by the method of sources and sinks. The fracture at the observation well was assumed to be a plane source of infinite conductivity. SPEJ P. 933^

Prediction of Perforation Efficiency in Gas Well Using Machine Learning

2021 ◽  
Author(s):  
Sukotrihadiyono Tejo ◽  
Yasutra Amega ◽  
Irawan Dedy
Keyword(s):  
Machine Learning ◽  
Test Data ◽  
Transient Analysis ◽  
Empirical Relation ◽  
Skin Damage ◽  
Gas Well ◽  
Pressure Transient Analysis ◽  
Pressure Transient ◽  
Rate Test ◽  
Short Time

Abstract The efficiency of perforation is an important aspect in gas well since it affects near wellbore pressure drop related to turbulent flow. The perforation efficiency is correlated with non-Darcy skin that is able to be distinguished by pressure transient analysis of isochronal test (Swift et al., 1962), or evaluated from multi-rate flow test data plot coefficients (Jones et al., 1976), or type curve of single build up test following constant-rate production (Spivey et al., 2004). A simple single rate pressure transient analysis which is supported by parameters derived from historical multi rate test data was also proven to differentiate skin damage and non-Darcy skin (Aminian et al., 2007). Unfortunately there are trade-offs between accurateness and analysis time in these aforementioned methods. Quick analysis of perforation efficiency is often needed during well completion and workover activities, to decide whether re-perforation job is required or not. To overcome the challenges of limited time for data acquisition and evaluation, an empirical relation between actual perforation length, skin damage, and laminar-turbulence flow coefficients that are obtained from short-time multi rate test is important to predict the perforation efficiency. The empirical relation will be developed using machine learning. A simple gas reservoir model is built and then run with variations of reservoir permeability, perforation interval length, near wellbore permeability, and vertical anisotropy to generate large numbers of hypothetical multi rate test data. The data set of laminar coefficient, turbulence coefficient, absolute open flow, skin damage, and perforation length will then be trained and tested to create empirical relation using supervised regression method which will afterwards be applied to several actual field cases. This study will elaborate the development of empirical relation of perforation efficiency with the distinct parameters obtained from simple short-time multi rate test data, what other factors will influence the empirical relation, as well as become the possible condition limit of the field application of the developed empirical relation.

Minimization and Removal of Wellbore Storage Effect by Direct Deconvolution of Well Test Data

2015 ◽  
Author(s):  
Zohrab Dastkhan ◽  
Ali Zolalemin ◽  
Kambiz Razminia ◽  
Hadi Parvizi
Keyword(s):  
Test Data ◽  
Storage Effect ◽  
Well Test ◽  
Wellbore Storage

scholarly journals Pressure and reciprocal rate transient analysis for finite-conductivity vertical fractured hydrocarbon wells under trilinear flow

2021 ◽  
Author(s):  
Freddy Humberto Escobar ◽  
Fabio Andrés Pineda ◽  
Daniel Suescún-Díaz
Keyword(s):  
Test Data ◽  
Transient Analysis ◽  
Finite Conductivity ◽  
Field Case ◽  
Well Stimulation ◽  
Conventional Analysis ◽  
Rate Transient Analysis ◽  
History Of ◽  
Rate Test

AbstractHydraulic well fracturing has been an important practice for well stimulation along the history of the hydrocarbon industry. Therefore, accurate and practical assessment of the fracturing job should be of importance. Interpretation of well pressure and rate test data in vertical finite-conductivity fractured hydrocarbon wells by the TDS methodology and conventional analysis are presented in this paper. The accuracy and practicality of the developed equations are successfully tested with synthetical examples and a field case.

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