Applications of Grain Size Distributions to Predict Sand Production Zones and Sand Control Method / Nadiah Aqilah Haji Sufrian
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TextPublication details: Bandar Seri Begawan : Universiti Teknologi Brunei , ©2022. Description: viii,185 pages : charts, photos ; 30 cmSubject(s): Universiti Teknologi Brunei -- Thesis | Universiti Teknologi Brunei -- Final Year Report | Sand | Sediment Transport | Oil Wells -- Sand ControlOther classification: RTDS 439 Dissertation note: Thesis (Master) - Universiti Teknologi Brunei, 2022
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Reports, Thesis & Dissertation Students
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Universiti Teknologi Brunei Library - at level 2 | UTB 120 REPORT THESIS & DISSERTATION , RTDS 439 (Browse shelf(Opens below)) | Not for loan | Reg. No. 002492_UTB [RTDS 439] | 850657 |
Thesis submitted in fulfillment of the requirements for the Degree of Master of Science
Abstract
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.
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.
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
Thesis (Master) - Universiti Teknologi Brunei, 2022
Includes bibliographical references from page 99-106
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