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GoArbuzov, Andrey Alexandrovich (TGT Prime) | Bochkarev, V. V. (TGT Prime) | Bragin, A. M. (TGT Prime) | Maslennikova, Y. S. (TGT Prime) | Zagidullin, B. A. (TGT Prime) | Achkeev, A. A. (TGT Prime) | Kirillov, R. S. (TGT Prime)

This paper presents downhole magnetic imaging defectoscopy (MID) in memory mode, its key principles, differences from other corrosion logging technologies, and some results of its application in oil wells.

The MID technology is designed to check the integrity of magnetic and non-magnetic tubing and casing strings in oil and gas wells. It can be used to detect various defects, corrosion and mechanical wear, and to assess the quality of perforations.

The MID tool contains two high-sensitivity sensors: a short generator/receiver coil and a long one with short relaxation times to analyse responses even at early times of 0.1 ms. The short coil generates a short, low-amplitude electromagnetic pulse and records a response from the first metal barrier, normally tubing, where as the long coil generates a long, high-amplitude electromagnetic pulse and records a signal travelling a much longer distance of up to 13 inches to record the total response from tubing and casing. Mathematical processing of these responses can determine the thicknesses of the first and second metal barriers.

An independent power supply allows logging to be performed on slickline, which substantially reduces operating costs and enables the use of magnetic imaging defectoscopy for well monitoring to prevent leak and corrosion related incidents and thus increase environmental safety in the field. The wide use of memory magnetic imaging defectoscopy will substantially reduce the number of well incidents and expenses for remedial jobs.

calculation, component, conventional defectoscope, decay, drift, DRIFT panel, flowline corrosion, log, magnetic imaging defectoscopy, materials and corrosion, mid tool, panel, Pipeline Corrosion, Response, riser corrosion, Subsurface Corrosion, Thickness, Upstream Oil & Gas, wall thickness, well completion, well integrity

Arbuzov, Andrey Alexandrovich (TGT Prime) | Alekhin, A. P. (TGT Prime) | Bochkarev, V. V. (TGT Prime) | Minakhmetova, R. N. (TGT Prime) | Chukhutin, D. V. (TGT Prime) | Zakirov, A. N. (TGT Prime)

This paper describes the MINK tool which is based on pulsed neutron-neutron (PNN) logging technology, its key principles and differences from other logging and data interpretation methods, and illustrates its applications to estimating oil saturation in wells.

The principal feature of the MINK tool is its data recording technique in which all neutron-count decays are saved to memory and processed separately. In conventional PNN logging, 100 decays are initially accumulated and then averaged before processing, which results in information loss.

Theoretical considerations and available experimental data have indicated that the probability distribution of neutrons is governed by Poisson's law [1] and allows the use of the maximum likelihood method (MLM) for experimental data fitting [2] with a substantial advantage over the conventional least-square method (LSM). This was particularly important for reservoir characterisation, as the rock's response is mainly recorded at late times. Neutron count rates at late times are small, and the least square method becomes a hit-and-miss technique. The authors have developed algorithms and software for the efficient and reliable determination of single- and double-exponential approximation parameters using the maximum likelihood method.

The processing of data from three selected wells has shown that Sigma profiles determined by the least square method are noisier than those determined by the maximum likelihood method. Moreover, some thin reservoir units were not seen in Sigma profiles obtained by the least square method, in contrast to those obtained by the maximum likelihood method.

Statistical modelling has been performed to validate the developed algorithms. Decays with experimentally determined decay times and Poisson's distribution of neutron count decays have been generated. Modelling data processing has shown that the maximum likelihood method provides 1.7 to 2 times higher accuracy than the least square method under equal conditions or 3 to 4 times smaller data collection volumes.

The MINK technology is expected to determine the oil content in dense reservoirs and low-salinity wellbore fluids.

approximation, Artificial Intelligence, decay, detector, distribution, error, formation evaluation, law, likelihood, log analysis, management and information, memory, method, MINK, mink tool, neutron, neutron count, Poisson, probability, processing, reservoir description and dynamics, Sigma, tool, Upstream Oil & Gas, well logging

SPE Disciplines:

Arbuzov, Andrey Alexandrovich (TGT Prime) | Bochkarev, V. V. (TGT Prime) | Bragin, A. M. (TGT Prime) | Maslennikova, Y. S. (TGT Prime) | Zagidullin, B. A. (TGT Prime) | Achkeev, A. A. (TGT Prime) | Kirillov, R. S. (TGT Prime)

**The pdf file of this paper is in Russian. To purchase the paper in English, order SPE-162054-MS.**

This paper presents downhole magnetic imaging defectoscopy (MID) in memory mode, its key principles, differences from other corrosion logging technologies, and some results of its application in oil wells.

The MID technology is designed to check the integrity of magnetic and non-magnetic tubing and casing strings in oil and gas wells. It can be used to detect various defects, corrosion and mechanical wear, and to assess the quality of perforations.

The MID tool contains two high-sensitivity sensors: a short generator/receiver coil and a long one with short relaxation times to analyse responses even at early times of 0.1 ms. The short coil generates a short, low-amplitude electromagnetic pulse and records a response from the first metal barrier, normally tubing, where as the long coil generates a long, high-amplitude electromagnetic pulse and records a signal travelling a much longer distance of up to 13 inches to record the total response from tubing and casing. Mathematical processing of these responses can determine the thicknesses of the first and second metal barriers.

An independent power supply allows logging to be performed on slickline, which substantially reduces operating costs and enables the use of magnetic imaging defectoscopy for well monitoring to prevent leak and corrosion related incidents and thus increase environmental safety in the field. The wide use of memory magnetic imaging defectoscopy will substantially reduce the number of well incidents and expenses for remedial jobs.

Completion Installation and Operations, flowline corrosion, formation evaluation, magnetic imaging defectoscopy, materials and corrosion, memory magnetic, Pipeline Corrosion, reservoir description and dynamics, riser corrosion, Russian, Subsurface Corrosion, Upstream Oil & Gas, well completion, well integrity

SPE Disciplines:

- Well Completion > Well Integrity > Subsurface corrosion (tubing, casing, completion equipment, conductor) (0.53)
- Well Completion > Completion Installation and Operations (0.53)
- Reservoir Description and Dynamics > Formation Evaluation & Management (0.53)
- Facilities Design, Construction and Operation > Pipelines, Flowlines and Risers > Materials and corrosion (0.53)

Arbuzov, Andrey Alexandrovich (TGT Prime) | Alekhin, A.P. (TGT Prime) | Bochkarev, V.V. (TGT Prime) | Minakhmetova, R.N. (TGT Prime) | Chukhutin, D.V. (TGT Prime) | Zakirov, A.N. (TGT Prime)

**The pdf file of this paper is in Russian. To purchase the paper in English, order SPE-162074-MS.**

This paper describes the MINK tool which is based on pulsed neutron-neutron (PNN) logging technology, its key principles and differences from other logging and data interpretation methods, and illustrates its applications to estimating oil saturation in wells.

The principal feature of the MINK tool is its data recording technique in which all neutron-count decays are saved to memory and processed separately. In conventional PNN logging, 100 decays are initially accumulated and then averaged before processing, which results in information loss.

Theoretical considerations and available experimental data have indicated that the probability distribution of neutrons is governed by Poisson's law [1] and allows the use of the maximum likelihood method (MLM) for experimental data fitting [2] with a substantial advantage over the conventional least-square method (LSM). This was particularly important for reservoir characterisation, as the rock's response is mainly recorded at late times. Neutron count rates at late times are small, and the least square method becomes a hit-and-miss technique. The authors have developed algorithms and software for the efficient and reliable determination of single- and double-exponential approximation parameters using the maximum likelihood method.

The processing of data from three selected wells has shown that Sigma profiles determined by the least square method are noisier than those determined by the maximum likelihood method. Moreover, some thin reservoir units were not seen in Sigma profiles obtained by the least square method, in contrast to those obtained by the maximum likelihood method.

Statistical modelling has been performed to validate the developed algorithms. Decays with experimentally determined decay times and Poisson's distribution of neutron count decays have been generated. Modelling data processing has shown that the maximum likelihood method provides 1.7 to 2 times higher accuracy than the least square method under equal conditions or 3 to 4 times smaller data collection volumes.

The MINK technology is expected to determine the oil content in dense reservoirs and low-salinity wellbore fluids.

Thank you!