Effective Ways to Avoid Barite Sag and Technologies to Predict Sag in HPHT and Deviated Wells With a Case Study in One Iranian Reservoir

Amighi, M. Reza; Moghadam, J. Naseryan

doi:10.1080/10916461003663016

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…(3) In the three-dimensional space, suppose point O1 is (X1, Y1, Z1), O2 is (X2, Y2, Z2), and the Euclidean distance calculation of O1 and O2 is shown in formula (4).…”

Section: Data Processingmentioning

confidence: 99%

“…Therefore, the application of sensor technology in environmental monitoring has covered most of the pollutants that may be exposed to humans, and the real-time detection of pollutants reflects the status of indoor air quality [3]. With the rapid development of global science and technology in recent years, the role of sensor technology in environmental monitoring policies has become more and more important, but there are also environmental factors with low content or no significant differences, making the existing test results unable to satisfy people [4] In order to solve this problem, this paper proposes a related method based on Bayes. Due to the efficient estimation efficiency and flexible mechanism, it performs well in many variable selection methods, and it is also suitable for parametric and non-parametric models [5].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Bayes-based air pollution computer measurement and big data outlier detection model

Liu

Chen²,

Guangjia³

et al. 2023

J. Phys.: Conf. Ser.

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In today’s rapidly changing social environment, high-dimensional data abound, but not all data are meaningful. In order to reduce costs and reduce consumption, people are more interested in some important variables. Therefore, variable selection of high-dimensional data is an important research direction. Based on the Bayesian method, it stands out among many variable selection methods with effective estimation efficiency and flexible mechanism, and it is also suitable for parametric and non-parametric models. Thanks to the flexibility of the statistical conclusion inference process, combined with prior information, the actual results are more accurate. At present, many indoor pollution problems, including decoration pollution, are getting more and more attention, and its air pollution calculations are obviously very important. Indoor air quality not only directly affects the comfort of the human body, but also significantly affects the work efficiency of family members. As a result of the development of the new digital economy, digital mining technology based on big data has brought unprecedented new development methods to various fields. This paper establishes an outlier detection model, identifies data processes that are significantly different from the normal data set or expected value, and cleans the data to improve the accuracy of the integrated detection model. This paper proposes a solution to this problem by combining big data mining technology with the establishment of an outlier detection model. At the same time, it optimizes the design of the model to reduce errors, so as to realize its accurate application in the measurement of air pollutants, and aims to promote its development.

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“…(3) In the three-dimensional space, suppose point O1 is (X1, Y1, Z1), O2 is (X2, Y2, Z2), and the Euclidean distance calculation of O1 and O2 is shown in formula (4).…”

Section: Data Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bayes-based air pollution computer measurement and big data outlier detection model

Liu

Chen²,

Guangjia³

et al. 2023

J. Phys.: Conf. Ser.

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show abstract

“…High-temperature aging test and HTHP downhole shearing test For the anti-sedimentation performance of the waterbased drilling fluid, sedimentation problem (nonequivalent density at each part of water-based drilling fluid) and solid-fluid balance (the weighting agent sank, and water was precipitated out to form the free water) in the water-based drilling fluid should be of the key significance to be studied. [36][37][38] Thus, the sedimentation parameters, that is, the density deviation and the free water volume, were all tested.…”

Section: The Tests For Molecular Chain Sizementioning

confidence: 99%

Hydrophobic association copolymer as viscosifier for high‐temperature high‐pressure anti‐sedimentation performance of water‐based drilling fluid

Wang

Qin³

et al. 2022

Polymer Engineering & Sci

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In this study, a new type of amphiphilic copolymer SPXFJ, with amide and sulfonate functional groups, was synthesized via the free radical polymerization method. And the chemical structure and properties of this new polymer were characterized by elemental analysis (EA), X-ray photoelectron spectroscopy (XPS), intrinsic viscosity tests, and thermogravimetric analysis (TGA). The hydrophobic association and thermo-thickening properties of SPXFJ copolymer were investigated through viscometer, contact angle tester, highresolution scanning electron microscope analysis, and X-ray laser static scattering (XLSS) test. The test results indicated that SPXFJ copolymer showed superior amphiphilic properties, especially in the solution condition. Furthermore, a thermo-associative behavior was found in the solution that aged at 180 C. Thus, SPXFJ-based drilling fluid showed a higher temperature resistance. The test results, in both high-temperature aging tests and hightemperature high-pressure (HTHP) downhole simulation tests, showed that the water-based drilling fluid showed excellent anti-sedimentation properties with the use of SPXFJ polymer and can be improved significantly, especially in the high-pressure condition. The water-based drilling fluid of 2.0 g/cm 3 showed no sedimentation of barite powders at 180 C/100 MPa, of which the density deviation just reached approximately 0.06 g/cm 3 .

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Prevention of hematite settling using synthetic layered silicate while drilling high-pressure wells

Basfar

Elkatatny

2020

Arab J Geosci

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Effective Ways to Avoid Barite Sag and Technologies to Predict Sag in HPHT and Deviated Wells With a Case Study in One Iranian Reservoir

Cited by 5 publications

References 2 publications

Bayes-based air pollution computer measurement and big data outlier detection model

Bayes-based air pollution computer measurement and big data outlier detection model

Hydrophobic association copolymer as viscosifier for high‐temperature high‐pressure anti‐sedimentation performance of water‐based drilling fluid

Prevention of hematite settling using synthetic layered silicate while drilling high-pressure wells

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