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Method for continuous interpretation of monitoring data

a technology of interwell permeability and data, applied in the field of cross correlation of data to monitor formation properties, can solve the problems of difficult translation of these methods for continuous updating of interwell permeability with non-systematic or irregular pulsing, and lose the value of high frequency information, so as to achieve the effect of simple practi

Inactive Publication Date: 2005-12-08
SCHLUMBERGER TECH CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0008] Wellbore storage also has a strong influence on the correlation time-scales. A simple forward calculation that removes this effect and allows a direct estimation of reservoir scale permeability is also provided. The techniques described herein are simpler to practice than conventional interference testing and do not require the same level of periodicity or uniformity of pulses.
[0009] In addition, a technique is described that is based on parameter estimation through forward calculations. No nonlinear parameter estimation is needed. The method relies on the correlation of signals at the source and the observer. The advantage of the method is that it can be performed on a dynamic basis over a window of data to give a continuous estimate of permeability in the region between wells. It is insensitive to nonperiodicity and the strength of the pulses, which makes the approach practical. The method is robust when multiple wells operate simultaneously in the region of the observer. Preferably, the pulsing is carried out in a separable manner.

Problems solved by technology

Otherwise the value of high frequency information is lost.
In principle, well-testing constitutes an inverse problem.
A translation of these methods for continuous updating of interwell permeability with nonsystematic or irregular pulsing is difficult.

Method used

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  • Method for continuous interpretation of monitoring data
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  • Method for continuous interpretation of monitoring data

Examples

Experimental program
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example 1

[0067] In this example, there are three wells that are colinearly located as shown in the '671 Patent and in FIG. 10(a). One of them, well 2, is an observation well. Wells 1 and 3 are active wells, 40 m apart, and well 2 is a passive or observation well. Wells 1 and 2 are 40 m apart, whereas well 2 and 3 are 80 m apart. The permeability of the formation is 0.1 μm2 (≈100 mD). The porosity is 0.25, the viscosity is 0.001 kgm−1s−1, and the compressibility is 4×10−9 m2N−1. All the trial calculations included an initial step on which were superimposed finite width pulses. For this example, the interpretation steps are the following. [0068] Pulse active wells 1 and 3 with respect to a background rate. [0069] Ensure that the pulses of each active well are sufficiently separated from those of others and the pulses are wide enough to be larger than the correlation time expected. [0070] Create a window of data, preferably containing 2N (where N is a natural number) points, surrounding the pul...

example 2

[0079]FIG. 10(b) shows the XZ cross-section of the hypothetical reservoir used in this example. The reservoir is 3800 ft long, 2250 feet wide and 60 ft thick. The pressure support comes from an aquifer connected to the XZ plane on the end of the reservoir, 1350 ft away from the well. The formation porosity is 15%. The viscosity of the water and oil are 0.5 cP and 20 cP, respectively. The 600 ft long horizontal producer is divided into 3 hydraulically isolated zones, 160 ft, 180 ft and 180 ft long respectively by packers. Within each zone, the flow can be independently controlled by a variable choke valve. The valve controls the flow from each annular zone into the common tubing. All zones are initially shut. A numerical simulator (Eclipse) was used to simulate a pressure transient created by opening zone 3 valve.

[0080] FIGS. 11(a) and 11(b) show pressure derivative responses of zone 1 (line A) and zone 2 (line B) when zone 3 (line C) is opened for two different reservoir model scen...

example 3

[0083] This example illustrates the utility of this approach using real pressure data from a producing well. Details of the well and the reservoir are given in Bryant et al. (2002). FIGS. 13(a) and 13(b) show that the pressure derivative response of zone 2 to zone 3 opening is very different from the reverse case of zone 3 response to zone 2 opening. FIG. 13(a) shows the zone 2 response when zone 3 was opened after a shut-in. This is smaller and diffused as compared to the zone 3 response to opening after a shut-in shown in FIG. 13(b).

[0084]FIG. 14(a) shows the correlation function for the pressure derivatives in these two zones for the two tests. FIG. 14(b) shows a more detailed view of FIG. 14(a) at early times. (The arrows indicate correlation times for the two tests.)

[0085] Both plots show a peak at time 0 min which corresponds to relaxation of a hydraulic fluid filled rubber packer that is isolating the two zones. The data acquisition interval here is 1 minute. The correlatio...

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Abstract

It is shown that a pressure pulse originating in a well is correlated to a pulse observed at a distant well with a characteristic time. The correlation time is directly related to the diffusion time scale arising out of the pressure diffusion equation. The relationship is affected by the source-observer or observer-observer distance but the correction is small for large distances. In practice, further corrections have to be included for finite width pulses. For these pulses, a practical scheme for continuous permeability monitoring is presented.

Description

RELATED APPLICATIONS [0001] This application claims priority from co-pending U.S. provisional patent application Ser. No. 60 / 577,269 filed Jun. 4, 2004 (incorporated by reference herein in its entirety).FIELD OF THE INVENTION [0002] The present invention relates to the cross-correlation of data to monitor formation properties, and more particularly, to the cross-correlation of pressure data to monitor permeability in a reservoir using permanent or semi-permanently installed sensors. BACKGROUND OF THE INVENTION [0003] Permanent surface and downhole sensor technology is increasingly being implemented to enable real time monitoring and reservoir management. Acquiring vast quantities of data in real time at high frequencies is useful only if data processing and interpretation can be done at same time scales. Otherwise the value of high frequency information is lost. U.S. patent application Ser. No. 09 / 705,674 to Ramakrishnan et al. (the '674 Application) (incorporated herein by referenc...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G01V1/40
CPCG01V1/40
Inventor RAMAKRISHNAN, TERIZHANDUR S.RAGHURAMAN, BHAVANI
Owner SCHLUMBERGER TECH CORP
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