Combined Analysis of Postfracturing Performance and Pressure Buildup Data for Evaluating an MHF Gas Well
- James N. Bostic (Amoco Production Co.) | Ram G. Agarwal (Amoco Production Co.) | Robert D. Carter (Amoco Production Co.)
- Document ID
- Society of Petroleum Engineers
- Journal of Petroleum Technology
- Publication Date
- October 1980
- Document Type
- Journal Paper
- 1,711 - 1,719
- 1980. Society of Petroleum Engineers
- 5.6.4 Drillstem/Well Testing, 5.5 Reservoir Simulation, 4.1.2 Separation and Treating, 3.2.3 Hydraulic Fracturing Design, Implementation and Optimisation, 4.3.4 Scale, 5.5.8 History Matching, 4.1.4 Gas Processing, 4.1.5 Processing Equipment
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This paper presents a method of combining postfracturing performance data with postfracturing buildup data for analysis on the same constant-rate type curve. This combination of buildup and production data is accomplished through the use of the superposition principle. The method allows the use of production data that contain occasional shut-in periods of long duration.
Low-permeability (less than 0.1 md) gas wells must be stimulated with massive hydraulic fracture (MHF) treatments to be commercial. Once a well has been stimulated, it is important to determine the length and conductivity of the resulting fracture as accurately as possible to predict rates and reserves and evaluate the effectiveness of the stimulation.
Two types of data normally are available to perform the required analysis. The first type is routinely collected data such as gas flow rates and flowing wellhead pressures. The second type of data is that from specially designed tests such as pressure buildup tests. There are various methods available for analyzing both kinds of data, but all of the methods have certain limitations.
Current analysis techniques are satisfactory for finite-flow-capacity fractures when formation flow capacity kh is known and sufficient production data without shut-in periods is available to perform a type-curve match as shown by Cinco et al. and Agarwal et al. However, one disadvantage of MHF treatments is that they often cause the stimulated wells to produce large volumes of load water (returning fracture fluids) for several weeks or months. Production data obtained during this cleanup period usually are not applicable for type-curve matching purposes with the currently available type curves. Since type curves normally are plotted on a log-log scale and exhibit the most character at small dimensionless times, the loss of the early-time production data disproportionately reduces the length of the available data band and is critical to the problem of obtaining a satisfactory match.
The purpose of this paper is to present a method of combining the production and buildup test data so that their concurrent analysis overcomes some of the limitations of either individual data set. The superposition principle is used in this combination, and the analysis of the resulting data set should provide a more accurate result than previously possible. This combination has the potential to generate field data curves of sufficient length that the shape of the data curve may be sufficiently definitive to determine formation flow capacity by type-curve analysis. Additionally, this method makes it possible to use production data that contain occasional shut-in periods of long duration.
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