Real-Time Fluid Distribution Determination in Matrix Treatments Using DTS
- Gerard Glasbergen (Halliburton Energy Services Group) | Dan Gualtieri (Halliburton Energy Services) | Mary S. Van Domelen (Maersk Oil) | José Sierra (WellDynamics)
- Document ID
- Society of Petroleum Engineers
- SPE Production & Operations
- Publication Date
- February 2009
- Document Type
- Journal Paper
- 135 - 146
- 2009. Society of Petroleum Engineers
- 5.3.2 Multiphase Flow, 5.1.5 Geologic Modeling, 2.2.2 Perforating, 5.6.4 Drillstem/Well Testing, 5.9.2 Geothermal Resources, 5.6.5 Tracers, 4.5.3 Floating Production Systems, 3.2.3 Hydraulic Fracturing Design, Implementation and Optimisation, 1.10 Drilling Equipment, 4.2.3 Materials and Corrosion, 4.3.4 Scale, 5.8.7 Carbonate Reservoir, 5.6.11 Reservoir monitoring with permanent sensors, 4.1.2 Separation and Treating, 3.2.4 Acidising, 5.6.1 Open hole/cased hole log analysis, 1.8 Formation Damage
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In matrix treatments, placement of the injected fluids is essential for success. Over the years, several diversion and placement techniques have been applied to obtain a desired fluid distribution. Real-time evaluation of a treatment was limited to observing injection pressures or bottomhole pressures. These measured pressures provided information on the diversion process. The application of distributed-temperature sensing (DTS) during matrix treatments to monitor the temperature profiles along the wellbore in real time is a recent method to obtain a qualitative indication of the fluid distribution. In this paper, we discuss if DTS can also be used to quantify the fluid distribution during a matrix treatment.
For the real-time quantification of the fluid distribution during a matrix treatment from temperature surveys, both real-time readouts of the temperature surveys and an accurate real-time model are needed. With DTS, the real-time readout is a feasible technique developed to present and evaluate the temperature surveys in real time. Further, a coupled wellbore and near-wellbore thermal model is available that runs in real time. This paper describes these techniques, models, and validations using several case histories.
In addition, an analysis of matrix treatments using DTS temperature surveys, where available, are presented. The models are used in the analysis to obtain calculated fluid flow distribution. We discuss how this methodology can be applied in real time and what benefits quantification of fluid flow distribution offers. Further, we describe what other benefits can be obtained from real-time temperature profiles during stimulation treatments.
|File Size||3 MB||Number of Pages||12|
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