Successful Application Of Ultrasound Technology To Detect Sand Producing Intervals In The Wellbore

Daud, Farik Mohd; Jusoh, Hasni; Mohamed, A.; Then, Eii Feng; Batumelai, Sathish Kumar

doi:10.2523/iptc-14737-ms

Cited by 3 publications

(1 citation statement)

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“…Sand production can be predicted by using many empirical methods based on well log data and rock mechanical properties [17,18,19], in addition to spectral sonic log tools that are used in conjunction with production log tools [20]. Based on the sand production prediction estimates of selected wells, downhole and surface sand control tools for future wells will be selected and designed [21].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Sanding Likelihood Intervals Using Different Approaches

Naji

Abdul-Majeed

Alhuraishawy³

et al. 2023

Journal of Petroleum Research and Studies

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Sand production is undesirable matters, occurring in wells that are producing from sand reservoirs. It causes many problems such as erosion and grains accumulation in downhole and surface equipment’s, and formation subsidence. Important stage in sanding problem solution is a prediction of likelihood sand production intervals. In present paper, a vertical well X1 that is producing from Asmari reservoir in Y field at southern Iraq was selected for study. Asmari reservoir was classified to six units: A, B1, B2, B3, B4, and C. B zones consisted from sandstone with others rock types. Eight approaches were used for prediction sanding onset intervals by dealing with X1 well as open hole completion. Utilized eight prediction methods are compressional sonic wave (CSW), unconfined compressive strength (UCS), total porosity (PHIT), shear modulus to bulk compressibility (G/Cb), B-Index, Schlumberger index (S- Index), combined index (Ec-Index) and critical drawdown pressure (CDDP). All these methods performed based on 2462 measured points of CSW, sonic shear wave log (SSW), and density log (DL). Sand production likelihood intervals was selected by determination of cutoff values of adopted methods. Sand is possible to occur if interval has values lower than cutoff values of G/Cb, UCS, B-Index, S-Index, Ec, and CDDP and greater than cutoff values of CSW, and PHIT. Obtained cutoff values of eight approaches were 800 x 109 psi2, 36 Mpa, 0.2, 80 us/ft, 10000 Mpa, 108 Mpa, and 2700 Mpa, of G/Cb, UCS, PHIT, CSW, B-Index, S-Index, and Ec respectively. As well as sand production is possible to occur of bottomhole flowing pressure lower than calculated CDDP. Some Intervals had high CDDP that referred to abnormal pressure zones consisted from shale. Determination of sand onset intervals is a key for selecting best methods for controlling.

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Section: Introductionmentioning

confidence: 99%

Prediction of Sanding Likelihood Intervals Using Different Approaches

Naji

Abdul-Majeed

Alhuraishawy³

et al. 2023

Journal of Petroleum Research and Studies

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Determination of Sand Production Intervals in Unconsolidated Sandstone Reservoirs Using Spectral Acoustic Logging

Aslanyan¹,

Maslennikova

Minakhmetova³

et al. 2020

SPE/IATMI Asia Pacific Oil &Amp; Gas Conference and Exhibition

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Solid particles (sand) production in oil and gas wells can significantly affect well productivity. The negative effect can be caused by sanding up of the perforations, tubing and downhole equipment, and abrasive wear of the well completion and surface equipment. The near-wellbore zone can also be damaged. Considering this, it is critically important to be able to identify sand production intervals for the purposes of ensuring sand control and preventing the negative impact of sand production. The paper presents a new method of locating sand production intervals using spectral acoustic logging tools, which consists of detecting signals generated by solid particles being transported by fluid flow and hitting the acoustic logging tool housing. The next generation spectral acoustic logging technology was used to identify reservoir intervals producing solid particles. The developed method was tested and utilised in a deviated well of one of the large gas fields in South East Asia, where sand production was a serious problem. Well logging operations, including spectral acoustic logging, were performed in two different production regimes. This approach not only demonstrated a good data repeatability, but also helped determine the optimum production regime of the well with sand production being under control. The acoustic logging data was processed by an adaptive recognition algorithm to identify acoustic signals generated by solid particles striking against the tool housing. The method had previously been tested in the lab. The proposed method of identifying sand production intervals in producing wells makes it possible to locate sand production zones and define a production profile in one logging run. The obtained information was used in planning a remedial job with the objective of isolating sand production intervals in the surveyed well.

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Integrating Fiber Optic Surveys with Petrophysics and Geomechanics for Sanding Monitoring and Sand Control Decisions in a Mature Field

Khaksar,

Younessi

2024

Day 3 Thu, February 29, 2024

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Identifying the sand-prone zones and the severity of sanding in wells with multi-layered hydrocarbon producing reservoirs or commingled completions is the key to designing fit-for-purpose sand control measures to ensure the continuation of safe operations, enhancing productivity and recovery. Sanding evaluations are commonly calibrated against either surface sand observations, hole fill events, hold up points or rock mechanical simulations. Although advanced geomechanical and petrophysical analyses can identify the likely sand producing intervals, in the absence of direct and independent downhole observations, the validity of such analyses can often be a concern. This study shows results of the emerging technology of Distributed Acoustic Sensors (DAS) from fiber optic surveys in live wells used for downhole sand detection in a mature offshore gas field in SE Asia. The integration of DAS signal processing with production logging (PLT), surface sand detectors and independent geomechanical and petrophysical evaluations proved very useful for through tubing sand control decisions in the study wells. The results of the petrophysical and geomechanical sanding evaluation provided in-depth insights into the likely sand-prone zone under varying flow rates and given reservoir pressures. Sand-prone zones are identified for current conditions and the severity of sanding with further depletion or flow rates is assessed for individual wells. DAS signal interpretation results in the second trial well are in full agreement with PLT data, surface sand monitors and the independent geomechanical evaluations. In the first well, further fine-tuning of DAS signal processing or a re-run may still be needed. Geomechanical analyses indicate that in both study wells, sand face failure will be very likely, even at the lowest tested flow rates of less than 15 MMSCFPD where no or limited sands were detected at the surface. DAS signals also indicate sand ingress signals at low flow rates in both wells. The workflow developed appears applicable to different well trajectories, depletion, and drawdown conditions. The technology has the potential for advanced production management that optimizes production and improves sand management decisions in existing wells with sanding issues.

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Successful Application Of Ultrasound Technology To Detect Sand Producing Intervals In The Wellbore

Cited by 3 publications

References 0 publications

Prediction of Sanding Likelihood Intervals Using Different Approaches

Prediction of Sanding Likelihood Intervals Using Different Approaches

Determination of Sand Production Intervals in Unconsolidated Sandstone Reservoirs Using Spectral Acoustic Logging

Integrating Fiber Optic Surveys with Petrophysics and Geomechanics for Sanding Monitoring and Sand Control Decisions in a Mature Field

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