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ANALISIS SEISMISITAS DI YOGYAKARTA BERDASARKAN HASIL RELOKASI HIPOSENTER MENGGUNAKAN METODE DOUBLE-DIFFERENCE Rahmawati Fitrianingtyas; Muhammad Firdaus Al Hakim; Adhi Wibowo; Khafidh Nur Aziz
Jurnal Sains Dasar Vol 12, No 1 (2023): April 2023
Publisher : Faculty of Mathematics and Natural Science, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jsd.v12i1.60118

Abstract

Aktivitas subduksi di selatan Jawa mengakibatkan terbentuknya sesar-sesar di daerah Yogyakarta. Salah satu sesar aktif yang ada di daerah ini adalah Sesar Opak dengan orientasi Timur Laut - Barat Daya. Aktivitas Sesak Opak diyakini sebagai sumber yang menyebabkan Gempa Yogyakarta 2006, meskipun hingga saat ini masih terjadi perdebatan diantara para peneliti terkait hal tersebut. Penelitian ini mempejari kondisi seismotektonik di Yogyakarta berdasarkan hasil relokasi gempa menggunakan metode double-difference. Data yang digunakan adalah data katalog dari Badan Meteorologi dan Geofisika (BMKG) periode April 2009 sampai April 2017. Hasil penelitian ini menunjukkan bahwa relokasi hiposenter menggunakan metode double-difference berhasil memperbaiki lokasi hiposenter dari data katalog BMKG yang masih dominan pada kedalaman fix depth serta menghasilkan distribusi episenter yang lebih terfokus. Hasil relokasi menunjukkan adanya kluster gempa di daerah Yogyakarta yang berlokasi 15-20 km di sisi timur Sesar Opak dan memanjang 45 km dengan orientasi N42.4oE yang mengindikasikan adanya sesar aktif lain di sisi timur Sesar Opak.
Seismicity Analysis and Velocity Structure of Two-phase Geothermal Field in Southern Bandung Al Hakim, Muhamad Firdaus
Jurnal Ilmiah MTG Vol 14, No 1 (2023): Jurnal Ilmiah MTG Volume 14 No. 1 Tahun 2023
Publisher : Jurusan Teknik Geologi Fakultas Teknologi Mineral UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jmtg.v14i1.9950

Abstract

Over a duration of six months, we conducted a microearthquake analysis to characterize the subsurface conditions in the two-phase geothermal field located in Southern Bandung. Throughout the study, a total of 754 microearthquake (MEQ) data were recorded from at least 15 monitoring stations. After selection process of the dataset, 362 events were selected based on their azimuthal gap angle being less than 180°. Initially, the earthquake locations were determined using the Geiger method. Subsequently, we updated the hypocenter locations through simultaneous inversion, incorporating 1D velocity structure and 3D tomographic inversion. Our analysis revealed three primary seismicity clusters, which likely correspond to the injection and production activities within the geothermal field. The southern cluster aligns with the injection wells, extending from a depth of 1 km to 8 km, suggesting that the MEQ events were induced by injection activity. In the production area, a higher concentration of events is observed, densely distributed between depths of 1 km and 3 km. We suspect that the third cluster is associated with the development activity of a steam-dominated geothermal field located east of the main field. Notably, low Vp/Vs values near the surface are detected and exhibit increased thickness towards the north. These characteristics are interpreted as indicative of the steam zone, as the anomaly's location aligns closely with the production area. The thickening of the low Vp/Vs zone towards the north suggests the presence of steam as the impact of fluid extraction in the region, leading to a decline in pressure.
Distribusi Frekuensi-Magnitudo Gempa Mikro Akibat Aktivitas Stimulasi Hidrolik pada Lapangan Panas Bumi Tipe Hot Dry Rock (HDR) Nanda Hanyfa Maulida; Muhamad Firdaus Al Hakim; Hesti; Suharno
Jurnal Teknik dan Teknologi Indonesia Vol. 1 No. 3 (2023): Desember : Jurnal Teknik dan Teknologi Indonesia (JTTI)
Publisher : Arsil Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62287/jtti.v1i4.67

Abstract

A series of hydraulic stimulations were conducted to enhance permeability and increase the production of hot fluid in a Hot Dry Rock (HDR) geothermal field. The stimulation involved injecting water into the hot rock, inducing hydraulic fracturing and resulting in over 2000 micro-earthquake events within the field. Utilizing existing microearthquake data, an analysis of the microearthquake distribution was performed, along with calculating the gradient of the frequency-magnitude distribution of microearthquakes (b-value) to assess the heterogeneity conditions induced by high pore pressure. The hypocenter distribution is centered around injection and production locations, displaying a trend that aligns with the main structure trending southwest to northeast. The mapping of b-values indicates elevated values in the hydraulic stimulation area, believed to be associated with increased pore pressure resulting from the higher fluid volume in that region. Moreover, high b-values were identified beneath the production area, suggesting the potential migration of injection fluid from the hydraulic stimulation process.
Development of CO2 Hub-Clustering Management in The South Sumatera Basin Brian Tony; Fanata Y. Nugraha; M. Firdaus Al Hakim; Damar Nandiwardhana; Steven Chandra
Scientific Contributions Oil and Gas Vol. 47 No. 1 (2024): SCOG
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The escalating urgency of mitigating climate change demands immediate and effective strategies, with Carbon Capture and Storage (CCS) emerging as a pivotal solution. This scientific study presents a systematic and quantitative approach to the selection of carbon dioxide (CO2) storage sites, focusing on the petrochemical industry in South Sumatera as the CO2 source with annual emission reach 3.5 MtCO2. A comprehensive screening process was executed, employing 14 distinct criteria, each assigned a weighted score, to ensure the inclusion of technically feasible options for CO2 capture and storage. Notably, the emphasis on Subsurface Data Analysis, encompassing vital factors such as storage reservoirs, boundary zones, traps, potential injectivity, prospective storage resources, and existing seismic data, served as a cornerstone in enhancing the robustness of our assessments. The research successfully identifies 15 CO2 storage fields, with the total storage capacity of up to 475 MtCO2. This quantitative evidence underscores the substantial potential for large-scale CO2 storage within the study area. Furthermore, the consideration of spatial dynamics, with two distinct scenarios within 100 km and 200 km radius from CO2 emission sources, provided precise quantitative insights into the geographical distribution of these storage sites relative to emission sources. Importantly, the optimization of pipeline infrastructure and the utilization of existing Right of Ways (ROW) were quantitatively validated as cost-effective measures for CO2 distribution, a crucial factor given the urgency of implementing CCS. Spatial calculations supported the proposal of a 600-kilometer pipeline route, demonstrating the quantitative feasibility of leveraging existing infrastructure to facilitate extensive CO2 management. This research could help understanding large-scale CO2 storage potential and provides valuable insights for CCS policy and business development in South Sumatera
Implementation of CO2 Source-Sinks Match Database Development. Case Study: West Java Tony, Brian; Nugraha, Fanata Yudha; Al Hakim, Muhamad Firdaus; Putra, I Putu Raditya Ambara; Chandra, Steven
Journal of Petroleum and Geothermal Technology Vol. 5 No. 2 (2024): November
Publisher : Universitas Pembangunan Nasional "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jpgt.v5i2.13432

Abstract

Carbon capture and storage (CCS) is widely recognized as a significant technology in mitigating carbon dioxide (CO2) emissions from major industrial facilities, such as power plants and refineries. CCS involves the capture of concentrated CO2 streams from point sources, followed by subsequent safe and secure storage in appropriate geological reservoirs. We developed spatial database system using Geographic Information System (GIS) tools to facilitate source-sink matching between CO2 emitter and CO2 storage to foster the implementation of CCS/CCUS technologies in Indonesia. In this study, we proposed workflow approach to determine the location of CO2 sinks/storage candidates given limited data available. Additionally, this method spatially characterizes and represents probable clusters where opportunities for CCS/CCUS implementation are present. We consider the existing pipeline route and Right of Ways (ROW) to minimize the potential cost related to transportation of CO2 using pipeline. The priority of available storage is classified based on the storage capacity, distance, and other technical criteria to determine the optimal location of potential CO2 injection. We applied the workflow to Coal Fired Power Plant in West Java as the CO2 source, and we obtained 6 depleted fields that are connected to the existing ROW with CO2 storage capacity of 42.03 MMT.
The use of PhaseNet for Event Identification of Microearthquake Monitoring in Geothermal Field Al Hakim, Muhamad Firdaus; Ambara Putra, I Putu Raditya
Journal of Petroleum and Geothermal Technology Vol. 6 No. 1 (2025): May
Publisher : Universitas Pembangunan Nasional "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jpgt.v6i1.13437

Abstract

Geothermal energy is a sustainable energy source that requires continuous microseismic monitoring to assess reservoir integrity and geomechanical behavior. Traditional phase identification methods are challenged by noisy environments and complex waveforms, especially in geothermal fields. This study explores the efficacy of PhaseNet, a deep learning neural network model, in detecting P and S wave arrival times for micro-earthquake events. The PhaseNet model was retrained using local seismic data from a geothermal field and tested for its performance in identifying seismic phases. The results were validated against a manual seismic catalog, with additional clustering and association analysis conducted using GaMMA and hypocenter locations determined with NonLinLoc. The findings demonstrate that PhaseNet, combined with GaMMA, provides robust phase detection capabilities, essential for early-stage monitoring in geothermal development.