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The Operator of a subsea field in the UK North Sea studied the optimum process for the permanent plugging and abandonment of a number of subsea wells which included a campaign of downhole data gathering and safe suspension of selected wells using a Light Well Intervention vessel (LWI) prior to the arrival of a mobile drilling unit. The criticality of this phase of the operation was to enter already shut-in wells, and to establish access to wells which had not been accessed or worked over for over 20 years. This meant limited data was available for the condition of the casings and completions. In order to safely suspend the wells after the campaign, the wells had to be plugged above the reservoir and the envelope of the well had to be pressure-tested to confirm the integrity of the barriers. Once the well envelope and barriers were successfully tested in accordance to established industry criteria the wells could be safely suspended. It is to be noted that in this phase of the operation the tubing needed to remain in place and was not be retrieved, as the retrieval of the tubing would require a drilling rig. However, the main envelope of the well which had to be pressure-tested is located behind the tubing. In order to assess the condition of the casing behind tubing an Electro-Magnetic (EM)pulselogging tool was run in the well to determine the condition of the casing and to determine the level of the corrosion. This then assists the Operator to design the pressure test values for the operation. The major steps of the operation were as follows: Multi -Finger Caliper (MFC) and EM pulse logging tool to be run inside the tubing using electric wireline to assess the integrity and corrosion condition of the tubing as well as the casing behind tubing.Deep-set plug to be set at the bottom of the tubing to isolate the reservoir.Deep-set plug to be pressure-tested to ensure the plug is set properly.Tubing to be punched to circulate the tubing and A-annulus fluid.The envelope of the well i.e. Completion Jewellery – Casing, Packer, Deep-set plug, etc. to be pressure tested. Prior to pressure testing the EM pulse logging data would be utilised to determine the pressure test values.Successful pressure test would mean successful isolation and suspension of the well, however, in the event of a failed pressure test the root cause of the failure would be investigated using Spectral Noise Logging technique to detect and identify the leak point, e.g., casing leak, packer leak, plug leak etc. This specific logging tool was kept on board as a contingency service in case of a failed pressure test. This paper describes briefly the physics of the measurements for EM pulse logging as well as Spectral Noise Logging in the context of this campaign followed by case studies which illustrate specific well data. The paper also includes a description of additional sensors which were utilised in the campaign in combination with EM pulse logging and Spectral Noise Logging (SNL) to explain how these multiple sensors complement each other to assist with corrosion assessment and leak investigation.
The Operator of a subsea field in the UK North Sea studied the optimum process for the permanent plugging and abandonment of a number of subsea wells which included a campaign of downhole data gathering and safe suspension of selected wells using a Light Well Intervention vessel (LWI) prior to the arrival of a mobile drilling unit. The criticality of this phase of the operation was to enter already shut-in wells, and to establish access to wells which had not been accessed or worked over for over 20 years. This meant limited data was available for the condition of the casings and completions. In order to safely suspend the wells after the campaign, the wells had to be plugged above the reservoir and the envelope of the well had to be pressure-tested to confirm the integrity of the barriers. Once the well envelope and barriers were successfully tested in accordance to established industry criteria the wells could be safely suspended. It is to be noted that in this phase of the operation the tubing needed to remain in place and was not be retrieved, as the retrieval of the tubing would require a drilling rig. However, the main envelope of the well which had to be pressure-tested is located behind the tubing. In order to assess the condition of the casing behind tubing an Electro-Magnetic (EM)pulselogging tool was run in the well to determine the condition of the casing and to determine the level of the corrosion. This then assists the Operator to design the pressure test values for the operation. The major steps of the operation were as follows: Multi -Finger Caliper (MFC) and EM pulse logging tool to be run inside the tubing using electric wireline to assess the integrity and corrosion condition of the tubing as well as the casing behind tubing.Deep-set plug to be set at the bottom of the tubing to isolate the reservoir.Deep-set plug to be pressure-tested to ensure the plug is set properly.Tubing to be punched to circulate the tubing and A-annulus fluid.The envelope of the well i.e. Completion Jewellery – Casing, Packer, Deep-set plug, etc. to be pressure tested. Prior to pressure testing the EM pulse logging data would be utilised to determine the pressure test values.Successful pressure test would mean successful isolation and suspension of the well, however, in the event of a failed pressure test the root cause of the failure would be investigated using Spectral Noise Logging technique to detect and identify the leak point, e.g., casing leak, packer leak, plug leak etc. This specific logging tool was kept on board as a contingency service in case of a failed pressure test. This paper describes briefly the physics of the measurements for EM pulse logging as well as Spectral Noise Logging in the context of this campaign followed by case studies which illustrate specific well data. The paper also includes a description of additional sensors which were utilised in the campaign in combination with EM pulse logging and Spectral Noise Logging (SNL) to explain how these multiple sensors complement each other to assist with corrosion assessment and leak investigation.
An oil field can be classified as mature when its production rate is significantly declining and/or when it is close to reaching its economic limit. A field might also be considered mature when it is close to attaining a recovery factor considered acceptable for its reservoir mechanisms. Strategies and methodologies to rejuvenate the field, enhancing production and increasing longevity of life will then commence. One of the most common methods of enhancing oil recovery (EOR) is by means of waterflooding, a device whereby injector wells are drilled in an oil field to inject water or gas into the reservoir to increase pressure and stimulate production. This, however, is a complex process posing its own uncertainty in optimally delivering increased production due to the complexity of reservoir type and well design. Having the ability to listen behind casing and deducing flow allocation of injection in which to increase the sweep and improving reservoir production performance becomes vital to enhancing oil recovery. This paper demonstrates how spectral noise logging has aided in rejuvenating oil fields and enhancing oil recovery. Three different oil field examples are examined and discussed, illustrating the methodology and benefits of better understanding flow allocation behind casing to provide much-needed solutions to aid in field life longevity.
Tight or damaged reservoir sections often require stimulation to adequately perform. These sections can be identified as the well is drilled using LWD measurements and after drilling using open-hole wireline tools (RFTs, borehole imaging, and petrophysical logs). After the completion is run it is often impossible to make these measurements again, meaning that when sections are stimulated the only way to gauge stimulation effectivity is by measuring the change in flow rate within the completion, e.g. through a frac port. The physical reservoir response is not realized. Spectral Noise Logging can be used before and after each stage of a stimulation job to evaluate this response. SNL distinguishes between matrix and fracture contribution (G. Galli, 2015) to flow allowing assessment of both hydraulic fracturing stimulation and acidizing. Acquiring behind pipe flow profile before the first stimulation stage will provide the baseline. SNL reservoir flow profile can be compared to open-hole logs (e.g. borehole imaging) and used to calibrate them with flow activity as the reference e.g. fractures identified from a formation imager can be seen and categorized as flowing or not flowing (Arthur Aslanyan, 2015). Logging SNL after the first stage of stimulation reveals how the reservoir responds, e.g. improved or new flow through existing fractures (comparing with borehole images), the appearance of new active fractures or change in matrix flow activity. If different stimulation strategies are implemented in the same well or reservoir, SNL can be used to assess and compare the effectiveness of each, resulting in the identification of an optimum stimulation technique. How effective a stimulation job is largely dependant on the conformance of the completion of the job. If two zones have been targeted with some volume of a stimulation fluid, but a portion of this fluid leaks off to adjacent zones (e.g. through leaking packers) this will impact the degree to which the target zones react. Evaluating completion integrity is therefore crucial to understanding the effectiveness of a stimulation technique. Spectral Noise Logging is used to detect such leaks (Ihab Nabil Mohamed, 2012) making it integral to a wholistic approach in diagnosing stimulation effectivity. Furthermore, for many cases, well conditions render conventional PLT data useless (e.g. cross-flows dominate temperature profile, asphaltenes/solids affect spinner data) so noise data is the only measurement that can represent reservoir activity. This paper will give such examples where SNL has been used to evaluate the effectiveness of stimulation jobs.
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