Active acoustic ranging confirms well locations in GOM salt

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US Gulf, 美国, North America, 海上

To locate two nearby wells, one cased hole and one open hole, in a salt formation from an openhole well in the Gulf of Mexico (GOM), SLB deployed 3D far-field sonic service with active acoustic ranging (AAR). The solution successfully located both wells at a distance of up to 160 ft (49 m), exceeding expectations for this formation type. Additionally, the analysis provided insights into the quality of the salt, which was essential for evaluating interception locations for kill operations.

Overcoming limitations in locating relief well targets

Relief wells are an important contingency response in the event of a loss of well control. The basic concept involves intercepting the target well at a particular depth and then pumping kill fluid from the relief well. To achieve this, operators need a reliable and robust method of locating, tracking, and intercepting the target.

Current directional survey technologies present a high cumulative uncertainty in the absolute location of the target well, posing the need for a direct and accurate locating technique. For example, magnetic ranging technologies are helpful but not optimal for this purpose, especially in salt formations, where active systems are sensitive to the salt resistivity and passive systems are limited by target wellbore residual magnetism.

For a contingency application in the Gulf of Mexico, BP was concerned about these limitations and wanted to test another solution to locate two target wellbores—one open hole and one cased hole—from an openhole wellbore.

Interpreting acoustic signals to enable ranging in salt

SLB recommended 3D far-field sonic service, which uses AAR technology to identify formation and wellbore features. The service employs reflected compressional and shear waveforms from the target wellbore as well as the acoustic properties of the formation rock to detect nearby wellbores and formation features and determine their distance, dip, and azimuthal direction.

Initially, the workflow for 3D far-field sonic AAR service manually identified the reflection from the wellbore that was ranged on 8 azimuthal images, each covering a 45° sector, obtained at each of the Sonic Scanner™ acoustic scanning platform’s 13 receiver stations. As processing techniques have evolved, the dataset has been reprocessed using an automated sonic imaging technique that enables a more accurate and consistent azimuth and range estimate. Automation also reduces turnaround time and the bias that can be introduced by manual interpretation.

In the monopole data (left) acquired by a single sensor for determining distance and azimuth with the sonic imaging workflow, the target cased hole well slopes from upper left down toward the right. A migrated view of the monopole data (right) clearly shows the cased target well out to 140 ft. The openhole target well is seen as a faint curved feature on the middle left at a range of 5 to 10 ft. This is a composite of three azimuthal receivers. Prior to development of the automated sonic imaging workflow, the reflector would have been manually picked on the azimuthal receiver at the strongest observed reflection amplitude.
In the monopole data (left) acquired by a single sensor for determining distance and azimuth with the sonic imaging workflow, the target cased hole well slopes from upper left down toward the right. A migrated view of the monopole data (right) clearly shows the cased target well out to 140 ft. The openhole target well is seen as a faint curved feature on the middle left at a range of 5 to 10 ft. This is a composite of three azimuthal receivers. Prior to development of the automated sonic imaging workflow, the reflector would have been manually picked on the azimuthal receiver at the strongest observed reflection amplitude.
The migrated Y dipole data shows a short section of the cased hole target to the left (25- to 50-ft range) and a clear view of the openhole target from 20 ft out to 160 ft, as highlighted with the blue curve on the right.
The migrated Y dipole data shows a short section of the cased hole target to the left (25- to 50-ft range) and a clear view of the openhole target from 20 ft out to 160 ft, as highlighted with the blue curve on the right.
Three quality control plots for the single-sensor monopole data with time picks from the sonic imaging workflow at the top are (left to right) ray tracing results for each sample point along the reflector time pick, 3D slowness-time-coherence plot for one point (shown with purple rays on the left plot), and the reflector azimuth and inclination estimate for every point along the reflector.
Three quality control plots for the single-sensor monopole data with time picks from the sonic imaging workflow at the top are (left to right) ray tracing results for each sample point along the reflector time pick, 3D slowness-time-coherence plot for one point (shown with purple rays on the left plot), and the reflector azimuth and inclination estimate for every point along the reflector.
The 3D far-field sonic service determined the acoustic ranging distance and direction for the cased hole well on the traveling cylinder with corresponding uncertainties in colored boxes. The well survey from BP is represented by the blue curve. On the left are picks from the automated workflow, and to the right are picks from the initial manual approach.
The 3D far-field sonic service with AAR determined the acoustic ranging distance and direction for the cased hole well on the traveling cylinder with corresponding uncertainties in colored boxes. The well survey from BP is represented by the blue curve. On the left are picks from the automated workflow, and to the right are picks from the initial manual approach.
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