Lithofacies Recurrence Analysis Using Markov Chain Method in Semilir Formation, Ngoro-Oro, Gunungkidul

Dhea Ameila Pratiwi; Akhmad Zamroni; Ani Apriani

Dhea Ameila Pratiwi Institut Teknologi Nasional Yogyakarta
Akhmad Zamroni Institut Teknologi Nasional Yogyakarta
Ani Apriani Institut Teknologi Nasional Yogyakarta

Abstrak

The Semilir Formation located in Ngoro-Oro, Gunungkidul, has significant lithofacies diversity, reflecting dynamic depositional conditions in the past and indicating a recurring depositional pattern. The limitations of stratigraphic and geostatistical information are the main reasons for this research. This study aims to identify the characteristics of lithofacies in the Semilir Formation, Ngoro-Oro, Gunungkidul, and analyze the relationship between facies through the chi-square statistical test. In addition, the pattern of lithofacies repetition and transition is evaluated using the Markov chain method to determine the probability of lithofacies repetition and predict the stratigraphic sequence at the research location. The research was conducted on ancient rock outcrops along the Prambanan-Wonosari alternative route located in Ngoro-Oro Village, Patuk District, Gunungkidul Regency, Daerah Istimewa Yogyakarta Province by conducting stratigraphic measurements with a thickness of 78 meters using Jacob stuff then continued with geostatistical analysis using the Markov chain method. This method will provide an understanding of the prediction of lithofacies transition patterns in the research area. The research results reveal that the lithofacies at the study location consist of lithology composed of sandstone interbedded with claystone and tuff, sandstone interbedded with claystone with siltstone inserts, and sandstone interbedded with siltstone with claystone inserts. The results of the Markov chain statistical calculation of lithology or lithofacies have a non-random transition pattern

Referensi

Surono, B. Toha, and I. Sudarno, “Kajian Geologi Regional Daerah Pengunungan Selatan, Jawa Tengah,” 1992.

E. Mutti and F. Lucchi, “Turbidites of the Northern Apennines: Introduction to Facies Analysis,” International Geology Review, vol. 20, pp. 125-166, 1978. 10.1080/00206817809471524.

S. Borka, "Markov Chains and Entropy Tests in Genetic-Based Lithofacies Analysis of Deep-Water Clastic Depositional Systems," Open Geosciences, vol. 8, no. 1, pp. 45-51, 2016. doi: https://doi.org/10.1515/geo-2016-0006

R. W. Van Bemmelen, “The Geology of Indonesia,” The Goge: Martinus, 1949.

A. Pulunggono and S. Martodjojo, “Perubahan Tektonik Paleogene – Neogene Merupakan Peristiwa Tektonik Terpenting di Jawa,” In: Proceeding Geologi dan Geotektonik Pulau Jawa, Yogyakarta: Percetakan NAFIRI, 1994.

Z. Zeng, Y. Cai, and J Wu, “Local Coupled Markov Chain Model for Simulating Varied Stratigraphy,” Computers and Geotechnics, vol. 167, p. 106064, 2024. doi: 10.1016/j.compgeo.2023.106064

T. Hung, T. Khuong, T. T. Tra, and T. Lai, “Studies on lithofacies Sequences in the Hoanh Bo Basin, Quang Ninh Province by Using Markov Chain Model and Entropy Function,” Tap chi Khoa hoc Ky thuat Mo - Dia chat, vol. 63, no. 1, pp. 15- 26, 2022. doi: 10.46326/jmes.2022.63(1).02

A. H. F. Rizqi and H. T. Purnomo, “Correlation of lithofacies and depositional environment using Markov chain analysis in Sambipitu formation at Ngalang river, Gunungkidul, Yogyakarta, Indonesia,” Sustinere: Journal of Environment and Sustainability, vol. 5, no. 1, pp. 49–63, 2021. doi: https://doi.org/10.22515/sustinere.jes.v5i1.124

M. Mitra, E. Mahmoudi, K. Ranjineh, Y. Khojasteh, and Y. Sharghi, “Facies Modelling for Hydrocarbon Reservoirs Using A Combined Markov Chain Method,” Geocarto Int., vol. 37, no. 25, pp. 10659-10680, 2022. doi: 10.1080/10106049.2022.2037737.

A. Apriani, “Metode Markov Chains untuk Analisa Perulangan Fasies di Sub Basin Kiliran Jao Sumatra Barat,” Jurnal Angkasa, vol. 8, no. 1, pp. 1-16, 2016. doi: http://dx.doi.org/10.28989/angkasa.v8i1.128