Karst Delineation Studies Using 3D Seismic & Well Data In M1 Field, Central Luconia, Off The Coast Sarawak By Integrating Qualitative And Quantitative Methods

Nanlohy, George Billy (2024) Karst Delineation Studies Using 3D Seismic & Well Data In M1 Field, Central Luconia, Off The Coast Sarawak By Integrating Qualitative And Quantitative Methods. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Karst bersifat postgenetik ketika karstifikasi terjadi setelah pembentukan batuan, sedangkan bersifat sinogenetik ketika kedua proses terjadi secara simultan. Eksplorasi dan karakterisasi reservoir karst bergantung pada pemetaan geologi, analisis inti, data log, dan data seismik. Namun, metodologi ini sering menghasilkan resolusi yang tidak memadai dan pemahaman yang terbatas terhadap fitur karst yang kompleks. Kombinasi data seismik 3D dan data sumur menawarkan pendekatan yang menjanjikan untuk memetakan fitur karst. Fitur terkait karst dapat diidentifikasi dan dipetakan melalui metode kualitatif, dan untuk metode kuantitatif, digunakan teknik analisis data canggih, seperti metode statistik, untuk menjelajahi lebih dalam kemampuan analisis kuantitatif dalam menghasilkan peta karst yang lebih akurat dan rinci. Tujuan dari penelitian ini meliputi pemetaan dan karakterisasi fitur karst melalui integrasi metode kualitatif dan kuantitatif. Dua horizon, yakni Top Cycle V Carbonate dan Lower Cycle V Carbonate, digunakan bersama dengan lima atribut, termasuk geomorfologi, porositas, dan diskontinuitas. Parameter-parameter ini digunakan dalam menghasilkan peta karst yang rinci. Setelah penerapan atribut, nilai-nilai numerik diekstraksi dari peta permukaan untuk menetapkan skala skor karst, menentukan rentang optimum untuk setiap horizon dan atribut. Langkah terakhir melibatkan pembuatan peta karst di perangkat lunak QGIS berdasarkan nilai skor karst kumulatif. Metode analisis kualitatif seperti kaitan sumur-seismik, interpretasi horizon, pemetaan bawah permukaan, dan analisis atribut seismik dilengkapi oleh analisis kuantitatif, termasuk analisis skala skor karst, proses ekstraksi nilai, uji normalitas, analisis regresi berganda, dan Korelasi Spearman’s Rho. Pendekatan komprehensif ini meningkatkan kemampuan interpretasi secara keseluruhan untuk memetakan fitur karst, menawarkan dasar yang kokoh untuk penelitian masa depan. Kombinasi analisis kualitatif dan kuantitatif menawarkan wawasan komprehensif tentang fitur karst yang rumit yang ada di Lapangan M1.

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Karst is postgenetic when karstification occurs after the formation of the rock, whereas it is syngenetic when both processes occur simultaneously. Exploration and characterization of karst reservoirs have relied on geological mapping, core analysis, log data, and seismic data. However, these methodologies frequently resulted in inadequate resolution and a limited comprehension of the complex karst features. The combination of 3D seismic data and well data presents a promising approach for delineating karst features. Karst-related features can be identified and mapped through the qualitative methods and for quantitative methods employ advanced data analysis techniques, such as statistical methods, to proceed deeper into the capabilities of quantitative analysis in producing more accurate and detailed karst maps. The objectives of this study encompass the delineation and characterization of karst features through the integration of qualitative and quantitative methods. Two horizons, Top Cycle V Carbonate and Lower Cycle V Carbonate, are employed along with five attributes, including geomorphology, porosity, and discontinuity. These parameters are utilized in producing a detailed karst map. Following attribute application, numerical values are extracted from surface maps to establish a karst score scale, determining the optimum range for each horizon and attribute. The final step involves generating a karst map in QGIS software based on the cumulative karst score values. Qualitative analysis methods such as well-to-seismic tie, horizon interpretation, subsurface mapping, and seismic attribute analysis are complemented by quantitative analyses, including karst score scale analysis, extraction value processes, normality testing, multiple regression analysis, and Spearman’s Rho Correlation. This comprehensive approach enhances the overall interpretive capabilities for delineating karst features, offering a solid foundation for future studies. The combination of qualitative and quantitative analyses offers a comprehensive insight into the intricate karst features present in the M1 Field.

Item Type:	Thesis (Other)
Additional Information:	RSGf 551.49 GEO k 2024
Uncontrolled Keywords:	Karst Reservoir, 3D Seismic Data, Well Data, Karst Feature Delineation, Reservoir Karst, Data Seismik 3D, Data Sumur, Penentuan Jenis Karst
Subjects:	Q Science > QE Geology
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geophysics Engineering > 33201-(S1) Undergraduate Thesis
Depositing User:	George Billy Nanlohy
Date Deposited:	11 Feb 2024 00:24
Last Modified:	20 Nov 2024 08:45
URI:	http://repository.its.ac.id/id/eprint/106700

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