Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
A Small Volume Sampling Technique (SVST) allows operators to perforate, record temperature and pressure, and collect a formation sample prior to or in lieu of a well test efficiently and economically. Using this method, formations can be tested on a preliminary basis without the logistical burden of a comprehensive well test. Because of its economy, the SVST can also be used to test zones that were bypassed in older wells when expected production was not considered worth the expense of a comprehensive well test. The test apparatus is run in on drill pipe or tubing. Test procedure consists of Collection of two samples also yields valuable drawdown and pressure buildup data from two flow periods and two closed-in periods. After the tool is retrieved to the surface, an approximate liquid-gas ratio and water cut can be determined while the sample is drained. PVT analysis is then performed in the lab on samples taken by the small PVT samplers.
A Small Volume Sampling Technique (SVST) allows operators to perforate, record temperature and pressure, and collect a formation sample prior to or in lieu of a well test efficiently and economically. Using this method, formations can be tested on a preliminary basis without the logistical burden of a comprehensive well test. Because of its economy, the SVST can also be used to test zones that were bypassed in older wells when expected production was not considered worth the expense of a comprehensive well test. The test apparatus is run in on drill pipe or tubing. Test procedure consists of Collection of two samples also yields valuable drawdown and pressure buildup data from two flow periods and two closed-in periods. After the tool is retrieved to the surface, an approximate liquid-gas ratio and water cut can be determined while the sample is drained. PVT analysis is then performed in the lab on samples taken by the small PVT samplers.
The Drillstem Test (DST) has been a popular form of well testing since the early 1900's. To aid in the completion process, the pressure response from a DST can be analyzed to determine formation pressure, permeability, and amount of well damage. A downhole valve is used to control flow into the wellstring in most DSTs. Typically, the reservoir is intermittently flowed and shut-in multiple times. A variation of a DST is a closed chamber DST. Usually, the DST buildup periods are analyzed by using Homer3 time or Odeh and Selig's5 method. Limited analysis capabilities exist for the flow periods. Most DST analysis techniques lack the completeness to obtain accurate reservoir parameters. This paper presents a numeric simulator which is used to model DST and closed chamber DST behavior for a wide range of reservoir and wellbore conditions. Because variable wellbore conditions are considered, analysis is more reliable and often possible when other techniques fail. Reservoir flow into the wellstring is controlled by wellbore and reservoir parameters. In this simulator, wellbore conditions are modelled by using a wellstorage coefficient which is solved at each time step by performing a mass balance on the wellstring fluids. Volume of produced reservoir fluid, rathole mud production, variable cushion pressure, closed chamber air compression, inner wellstring diameter changes, hole deviation, and variable wellstring volume are considered in the calculation. By accounting for these parameters, this model is more complete than existing models or analysis techniques. The wellstorage coefficient is linked with reservoir values to solve for rate and pressure. Simulated pressure profiles are presented for various reservoir and wellbore conditions. A simulated match of field test data is also given to illustrate the practicality of this work. The strengths and weaknesses of the simulator are briefly cited.
SPE Members Abstract A closed chamber test (CCT) is characterized by a variable wellbore storage coefficient, whereas, in a slug test, the wellbore storage coefficient is assumed to be constant. It is shown that for ranges of parameters often encountered in practical cases, a large span of the CCT pressure data can be converted to equivalent slug test pressure data which can then be analyzed by several available slug test analysis techniques. In addition, we derive a new convolution method for analyzing buildup data obtained in a closed chamber drillstem test. We also present a method to analyze slug test data influenced by a step change in the wellbore storage coefficient due to a change in the wellstring diameter. Introduction Closed chamber tests (CCT) are currently used in the oil industry as closed chamber drillstem tests (DST), underbalanced perforation and backsurge perforation cleaning. Although there are differences in operation, underbalanced perforation, backsurge perforation cleaning and the flowing period of a closed chamber DST are the same from the transient well testing point of view. In this work, therefore, the term "close chamber" is generally used to refer to all of them. Pressure responses in these tests are governed by a changing wellbore storage coefficient which results in a nonlinear mathematical problem with no known solution. Available methods to analyze data from such a test include history matching through the use of numerical simulators, convolution methods utilizing flow rate directly measured or calculated from the measurement of the chamber gas pressure, and techniques developed from the short producing time concept. In this work, we suggest new procedures for analyzing CCT pressure data. Drillstem testing is well established as a primary technique for evaluating the commercial viability of newly discovered (virgin) reservoirs. A successful drillstem test (DST) gives a measurement of flow rates, an estimate of static reservoir pressure and pressure-time data corresponding to a short pressure transient test. Successful analysis of DST pressure data yields an estimate of the flow capacity, kh, and the skin factor, s. The flowing period of a DST corresponds to a slug test. Although slug tests were first considered in the field of groundwater hydrology, the industry-standard interpretation methods are based on the type curves of Ramey et al. Recently, Peres et al. showed that pressure data from slug tests can be conveniently converted to pressure data that would be obtained for the equivalent constant surface rate wellbore storage and skin problem. This general relationship enabled them to develop new convolution, deconvolution and type-curve analysis procedures to analyze slug tests. In particular, the converted slug test data can be analyzed using existing type curves for the analogous wellbore storage and skin problem; therefore, slug test type curves are no longer needed. Closed chamber drillstem tests were first introduced to petroleum industry by Alexander as an improvement to conventional drillstem tests; the objective was to reduce operational and safety problems. The only major difference between a conventional DST and a closed chamber DST is that in a closed chamber DST, the well is closed in at the surface. Erdle et al. conducted an extensive review of closed chamber drillstem testing and concluded that the advantages of closed chamber drillstem testing over conventional drillstem testing are improved safety, reduced test time and better test engineering at the wellsite. Reid discussed the advantages of a closed chamber DST over a conventional DST for low permeability gas reservoirs. Unfortunately, the mathematical problem for a closed chamber DST is more complicated than for a conventional DST because the former has a nonlinear wellbore boundary condition. Thus, researchers have been forced to resort to numerical solution techniques; see Saldana-C. and Ramey, the work of Grader (formerly Sageev) and coworkers and Petak et al. P. 315^
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.