000			03254nam a22002777a 4500
008			260505t2022 bx do||g m||| 00| 0 eng d
040			_aUniversiti Teknologi Brunei _beng _cUTB
084			_0UTB 120 REPORT THESIS & DISSERTATION _aRTDS 439
100	1		_aNadiah Aqilah Haji Sufrian _eauthor.
245	1	0	_aApplications of Grain Size Distributions to Predict Sand Production Zones and Sand Control Method / _cNadiah Aqilah Haji Sufrian
260			_a Bandar Seri Begawan : _b Universiti Teknologi Brunei , _c ©2022.
300			_aviii,185 pages : _bcharts, photos ; _c30 cm
500			_aThesis submitted in fulfillment of the requirements for the Degree of Master of Science
500			_aAbstract 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
502			_aThesis (Master) - Universiti Teknologi Brunei, 2022
504			_aIncludes bibliographical references from page 99-106
610		4	_aUniversiti Teknologi Brunei _vThesis
610		4	_aUniversiti Teknologi Brunei _vFinal Year Report
650		4	_aSand
650		4	_aSediment Transport
650		4	_aOil Wells _xSand Control
700	1		_aStephen Tyson _cProf, Dr _eSupervisor
700	1		_aMorteza Dami _cDr _eFormer Supervisor
942			_2lc _cRTDS _n0
998			_eReports, Thesis & Dissertation _s850657 : 002492 c.1_UTB _xUniversiti Teknologi Brunei
999			_c24060 _d24060