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There are many challenges associated with monitoring industrial subsurface CO2 storage. Utilizing a reliable strategy for monitoring and assurance is paramount. Numerous aspects and trade-offs need to be considered when designing a cost-effective monitoring solution that must satisfy regulatory and social licensing requirements and minimize operational complexity. Among various geophysical techniques that are included in the suite of carbon capture and storage (CCS) monitoring programs, seismic surveys provide reliable observations of the deep subsurface. However, active surface seismic techniques are expensive, resulting in significant time separation between surveys (several months or years). Downhole seismic approaches combined with fiber-optic sensing provide flexible options in designing on-demand monitoring strategies. Distributed acoustic sensing offers the opportunity to utilize injection wells for downhole time-lapse seismic imaging and microseismic detection, minimizing the impact on production operations. This paper presents the results of a multioffset vertical seismic profiling survey acquired in CO2 injection wells using bare fibers. The fibers were deployed inside the production tubing through FiberLine Intervention technology developed by Well-SENSE. The test utilized two injection wells for active seismic acquisition. The study took place on Barrow Island (Western Australia) as part of the Gorgon CCS project. The study demonstrates the technological advantages of fast deployment of the sensing fiber and the high quality of acquired seismic data. The paper highlights characteristic noise patterns in the recorded data and suggests approaches to attenuate their effects on seismic image quality. Finally, the impact of survey geometry and directional sensitivity of fiber on the recorded wavefield and the quality of seismic imaging is discussed.
There are many challenges associated with monitoring industrial subsurface CO2 storage. Utilizing a reliable strategy for monitoring and assurance is paramount. Numerous aspects and trade-offs need to be considered when designing a cost-effective monitoring solution that must satisfy regulatory and social licensing requirements and minimize operational complexity. Among various geophysical techniques that are included in the suite of carbon capture and storage (CCS) monitoring programs, seismic surveys provide reliable observations of the deep subsurface. However, active surface seismic techniques are expensive, resulting in significant time separation between surveys (several months or years). Downhole seismic approaches combined with fiber-optic sensing provide flexible options in designing on-demand monitoring strategies. Distributed acoustic sensing offers the opportunity to utilize injection wells for downhole time-lapse seismic imaging and microseismic detection, minimizing the impact on production operations. This paper presents the results of a multioffset vertical seismic profiling survey acquired in CO2 injection wells using bare fibers. The fibers were deployed inside the production tubing through FiberLine Intervention technology developed by Well-SENSE. The test utilized two injection wells for active seismic acquisition. The study took place on Barrow Island (Western Australia) as part of the Gorgon CCS project. The study demonstrates the technological advantages of fast deployment of the sensing fiber and the high quality of acquired seismic data. The paper highlights characteristic noise patterns in the recorded data and suggests approaches to attenuate their effects on seismic image quality. Finally, the impact of survey geometry and directional sensitivity of fiber on the recorded wavefield and the quality of seismic imaging is discussed.
In this paper, we present a novel fracture diagnostic method to determine the geometry of multiple propagating fractures. The method relies on the measurement of the Azimuthally Resolved WEllbore Strain Tensor (ARWEST) as a function of time at multiple locations in an observation well. A pad-scale fracturing simulator is used to simulate dynamic fracture propagation in a treatment well. The geometry of the monitoring wellbore is represented with a very fine (millimeter scale) computation mesh to capture the impact of the propagating fractures on the monitoring wellbore. The axial and radial strain at different locations along the wellbore is computed as a function of time as the fractures approach the observation wellbore. These measurements together with the wellbore pressure response are interpreted to obtain the height, length and width of the fractures as well as the cluster efficiency of the stage. The emergence of peaks in the strain and pressure monitoring data clearly detects the arrival of each fracture. As the fracture approaches the monitoring well, the tensile strain measured within the wellbore in the axial direction increases, the compressive strain in the radial direction increases and the sealed wellbore pressure increases. As the fracture intersects the wellbore, the tensile strain in axial direction decreases and compressive strain in the radial direction decreases. The sealed wellbore pressure further increases. When the treatment is complete, both the magnitude of the monitored strain and pressure decrease. The major axis of the oval wellbore is oriented towards the tip of the propagating fracture. The wellbore ovality, therefore, provides a direct measure of the location of the fracture tip in 3-D. The results obtained from these azimuthal wellbore measurements can be interpreted with the aid of the simulations to provide a new low cost facture diagnostic method. This new 3-D fracture diagnostics method allows us to infer (a) the location of the fracture front, (b) estimate the geometry (length, height, width) and (c) determine the cluster efficiency by monitoring the strain tensor as a function of time along an observation well. The results presented here will allow operators to integrate the measured casing strain tensor and the sealed wellbore pressure data. Such a diagnostic method opens the possibility of real-time fracture diagnostics and optimization.
Fiber optics has been an emerging technology in the oil industry as it provides critical downhole data from the well. However, running fiber in the well has been mainly limited to new constructions or through costly coiled tubing operation. This paper describes a novel method to deploy fiber in existing wells and collect distributed and single-point data. This was demonstrated through a successful and low-cost logging operation. FiberLine Intervention (FLI) employs a unique conveyance method to deploy the fiber inside the well. Two fibers (single-mode and multi-mode) with total length of more than 25,000ft have been wound inside a tool length of around 3ft, which can then unspool from the tool as it drops down the well by gravity. The tool utilizes bare optical fiber and housing materials that will degrade in the well, so it does not disturb production after completing the job. The end of the fiber is equipped with an electronic gauge to measure single point pressure while the fiber itself can be interrogated to provide Distributed Temperature Sensing (DTS) and Distributed Acoustic Sensing (DAS) data. Real-time data monitoring capability is enabled by connecting the top of the fiber to a surface laser box. Normal practice to deploy sensing and monitoring logging tools is to use slickline or wireline. Operational costs and time are of particular concerns, especially when there is a need to bring rigging equipment. Regarding this matter, FLI technology surpassed the conventional slickline by consuming only 15 minutes from releasing the electronic probe to reach the hold-up depth. During this time, DTS, DAS, pressure and temperature data were recorded in real-time. The location of the tool could be confirmed by the fiber loss plot, which shows excessive losses in the still spooled fiber within the probe, and normal losses in the fiber deployed in the wellbore. After the tool has reached the target depth, the annuli were bled of and the DAS responses were monitored to check for any leak in the completion. The presented field trial represents a successful logging operation, starting from tools setup to the data quality. This breakthrough could be viewed as a starting point as further developments can consider using this as a platform to deploy more variety of sensors downhole.
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