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Applications of Grain Size Distributions to Predict Sand Production Zones and Sand Control Method / (Record no. 24060)

MARC details
000 -LEADER
fixed length control field 03254nam a22002777a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260505t2022 bx do||g m||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency Universiti Teknologi Brunei
Language of cataloging eng
Transcribing agency UTB
084 ## - BOOK Call Number
Authority record control number or standard number UTB 120 REPORT THESIS & DISSERTATION
Classification number RTDS 439
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Nadiah Aqilah Haji Sufrian
Relator term author.
245 10 - TITLE STATEMENT
Title Applications of Grain Size Distributions to Predict Sand Production Zones and Sand Control Method /
Statement of responsibility, etc. Nadiah Aqilah Haji Sufrian
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Bandar Seri Begawan :
Name of publisher, distributor, etc. Universiti Teknologi Brunei ,
Date of publication, distribution, etc. ©2022.
300 ## - PHYSICAL DESCRIPTION
Extent viii,185 pages :
Other physical details charts, photos ;
Dimensions 30 cm
500 ## - GENERAL NOTE
General note Thesis submitted in fulfillment of the requirements for the Degree of Master of Science
500 ## - GENERAL NOTE
General note Abstract<br/>Sand production is an expensive problem shared by oil and gas companies all over the world. Experiments such as sand-screen retention testing and selection of screen-design is a crucial part to mitigate sand production within the wellbore. Outcrop analogue with detailed reservoir characteristics and properties, depositional environment, facies associations and textural characteristic is created to define the workability of Type Curve method before implementation to real data.<br/>More than 200 sandstone sieved data obtained with sieve size 2000, 1180, 600, 425, 300, 212, 150, and 63 um. An attempt to obtain full grain size distribution through photomicrographs of thin section using Image and Python programming. Problems in segmentation and photo resolution resulted in normal and truncated fittings to its distributions. Analysis was done to determine clay type and depositional environment from handheld gamma-ray spectrometer of the outcrops. All accumulated data of grain size distribution, depositional environment and clay minerals creates reservoir analogue where it could be categorized into sand groups. Type-curves are created using Machine Learning by identification of similar trends from its cumulative distributions. High success rate of Type Curve prediction is examined from unknown samples to known sandstone sample in its Type Curve criteria. Offshore Type Curves are generated to generalize sand-control method use for a certain grain distribution while predicting sand production intervals where there is grain size data i.e., sieve or LPSA.<br/>The Type Curve method serves as a simple way in overcoming sand production problems in oil and gas industry by: (1) reducing number of experiments needed to only the generalize sand type and (2) narrowing the selection of suitable screen type and sizes. This will create a solution by introducing Type Curve method and use this technique to real well production data and its relation to sand production. Outcrop
502 ## - Dissertation Note
Dissertation Note Thesis (Master) - Universiti Teknologi Brunei, 2022
504 ## - Bibliography, Etc. Note
Bibliography, Etc. Note Includes bibliographical references from page 99-106
610 #4 - SUBJECT ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Universiti Teknologi Brunei
Form subdivision Thesis
610 #4 - SUBJECT ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Universiti Teknologi Brunei
Form subdivision Final Year Report
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Sand
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Sediment Transport
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Oil Wells
General subdivision Sand Control
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Stephen Tyson
Titles and other words associated with a name Prof, Dr
Relator term Supervisor
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Morteza Dami
Titles and other words associated with a name Dr
Relator term Former Supervisor
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Local Classification
Koha item type Reports, Thesis & Dissertation Students
Suppress in OPAC No
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Internal field Reports, Thesis & Dissertation
CC (RLIN) 850657 : 002492 c.1_UTB
Internal field Universiti Teknologi Brunei
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Public note
    Local Classification Not damaged   Universiti Teknologi Brunei Library Universiti Teknologi Brunei Library - at level 2 04/10/2025 Universiti Teknologi Brunei   UTB 120 REPORT THESIS & DISSERTATION , RTDS 439 850657 05/05/2026 05/05/2026 Reports, Thesis & Dissertation Students Reg. No. 002492_UTB [RTDS 439]

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