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Multi-Layer Test InterpretationIn order to use pressure transient data to evaluate each layer in a commingled system, some form of selective testing is required. A single test of the composite behavior of all the layers not only fails to give information about each layer's properties, but it can also give erroneous information about the total system properties, typically underestimating both the skin factor and the permeability. As an alternative to isolating each zone and testing individually (e.g. straddle test), the multi-layer test (MLT) has been developed whereby the flow rate from each layer is measured using a spinner flow meter during a pressure transient test. Variable rate superposition analysis can then be applied to the data from each layer in turn to identify the appropriate reservoir model and to obtain an estimate of K, S, Pe, and other model parameters. MLT principles can be described using the schematic shown in Figure 1 shown below. Usually four basic parameters must be identified for a commingled reservoir system; Khi, Si, Pei and Di (for gas reservoirs or high flow rate oil producing oil wells). Attempts to identify these parameters have historically been performed by three methods: 1) isolation testing, 2) conventional variable rate testing, and 3) production logging (PL). The alternative MLT method derived from PL tests involves the sequential measurement of flow rate and pressure transients from an individual layer or group of layers after a rate change, starting preferably with the bottom layer and working up layer by layer; e.g. 1) bottom-most layer only rate change, 2) bottom-most layer plus second layer - rate change, 3) bottom-most, second, and third layers rate change, etc. This data acquisition process has been referred to as transient multi-layer test or simply MLT.
MLTs have the advantage that they can be carried out on a production well without pulling the completion and a production logging job is much more cost effective. Another advantage is that the total production from all layers is measured, whereas a series of straddle tests may in fact be testing the same zone, if the layers are not hydraulically isolated. MLT data are crucial for reservoir management in commingled systems where more than one layer is producing and cross-flow may be occurring between them. Good reservoir understanding is crucial, particularly for reservoir simulation, voidage control, pressure maintenance, and workover decisions. eP can provide MLT design and interpretation services using in-house software. Interpretations are typically processed in less than two weeks, depending on data quality, geological and reservoir data availability, and good coordination and communication with the operator and/or service companies, especially in remote locations. eP has industry recognized experts in PLT/MLT analysis who have worked for many years with prominent wireline and logging companies, and have authored a number of relevant papers. eP also provides external training and in-house courses in subjects related to multi-layer tests such as production logging, well test analysis, etc. to service company and operator personnel worldwide. MLT Interpretation Data RequirementseP recognizes that the following data requirements are not fulfilled in many cases. However, the data ideally required to provide the most complete analysis include:
To enable rapid project turn around, these data are best supplied in electronic format and sent by Internet e-mail, if possible. MLT Interpretation MethodologyeP will perform analysis of the multi-layer, multi rate test to obtain layer parameters by standard techniques using rate de-convolution.
Reporting MLT InterpretationA comprehensive MLT report is provided to the client detailing the interpretation, with comments on the raw data quality, conclusions, and any recommendations drawn from the interpretation. The report includes plots of the pressure and rate matches obtained from the pressure analyses performed in PanSystem, as well as the calculated reservoir parameters for each layer and reservoir model features. Recent MLT Interpretation Projects
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