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All Journal Buletin Sumber Daya Geologi Jurnal Migasian Akamigas Balongan Indramayu Jurnal Teknologi dan Inovasi Industri
Juniarto, Reinaldi
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Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Energy Engineering Environmental Science Health Professions Public Health

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PEMODELAN GEOLOGI DAN ESTIMASI SUMBER DAYA BATUBARA DI PIT “HMG”, TAMBANG BATUBARA BANKO BARAT, SUMATRA SELATAN: GEOLOGICAL MODELLING AND COAL RESOURCE ESTIMATION IN THE “HMG” PIT, WEST BANKO COAL MINE, SOUTH SUMATRA Adithya Ramadhani Hasibuan; Juniarto, Reinaldi; Nurdrajat; Reza Mohammad Ganjar Gani; Dicky Muslim; M. Dwiki Satrio
Buletin Sumber Daya Geologi Vol. 15 No. 3 (2020): Buletin Sumber Daya Geologi
Publisher : Pusat Sumber Daya Mineral Batubara dan Panas Bumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47599/bsdg.v15i3.308

Abstract

Indonesia is a country that has a lot of coal deposits, and one of the largest deposits is in Sumatra Island. The Bukit Asam coal mine has had a long history beginning with the Dutch colonial period. Administratively, location of the studied area is located in the area of Bukit Asam coal mine, Tanjung Enim area, Muara Enim Regency, South Sumatra Province. This paper provides the 2D and 3D geological modelling to estimate coal resources in the “HMG” PIT of West Banko Coal Mine. Forty-eight exploratory drill holes data from PT Bukit Asam were used in this study. There were reanalysed and reinterpreted to identify coal characteristics, correlate coal seams, and compile to create subsurface geological models. In an effort to determine coal resources in this area, there were some analytical techniques (criteria or parameter), including geological complexity analysis, coal quality distribution analysis, subsurface mapping to observe the geometry of coal seam distribution and making geological models from the results of drilling activities. The studied objects are seams A1, A2, B1, B2, and C with rank of high volatile B bituminous based on the ASTM Classification. The coal seams distribution shows relatively southeast-northwest trends. Resources classification or estimation in this paper is based on SNI 5015 : 2011, in which the study area is included in the geological complexity of simple geological groups with the distance of inferred resource information 1,000<X≤ 1,500m, designated 500<X≤1,000m, and measured X≤500m. From geological modelling and the Circular Method, estimated coal seam A1 resource is 28,543,893 tons, A2 seam is 31,199,799 tons, seam B1 is 38,638,462 tons, seam B2 is 15,790,222 tons, and seam C is 40,913,153 tons. The total coal resources are 155,085,529 tons.
Analisa Geopressure Pada Sumur Gas Lapangan Sumatera Utara Untuk Evaluasi Problem Partial Loss Pada Trayek 8 ½" Capah, Ade Indra Gurada; Najib, Muhammad Akbar; Juniarto, Reinaldi
Jurnal Migasian Vol. 4 No. 2 (2020): Jurnal Migasian
Publisher : LPPM Akademi Minyak dan Gas Balongan Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36601/jurnal-migasian.v4i2.137

Abstract

The drilling of well “X” experienced a delay in reaching the target due to obstacles. Most of the non-productive time is caused by problems of well instability such as partial loss. well instability occurs when the mudweight used does not match the geopressure model of the well so that it is not optimal. The use of mudweight in well "X" is based on the geopressure model without a safe mud window approach from the nearest well where the well is located far enough away that it is less relevant to be used as a reference. Mudweights used are 14.5 - 14.9 ppg on the trajectory hole 8 1/2 ". Geopressure analysis is carried out using the help of Drillwork Predict Software. Geopressure components to be estimated are overburden pressure, pore pressure, fracture pressure, horizontal stresses and collapse pressure. After analyzing the geopressure model, the safe mud window can be identified, and analysis of the drilling problems that occur by examining the actual mudweight usage data and formation lithology data can be done. The optimal mud weight to minimize well instability must be greater than collapse pressure but not more than the minimum in situ stress. From the results of the geopressure analysis carried out, it can be concluded that there is overpressure at a depth of 890 m / 1279.5 ft due to disequilibrium compaction. On trajectory hole 8 1 / 2 "the mud weight used is too large, causing partial loss. Based on the safe mud window obtained from geopressure analysis of well X, the optimal mud weight design is 14.67 - 15.4 ppg for drilling on the trajectory hole 8 1/2 ".
Tomografi Seismik Menggunakan Full Waveform Inversion Pada Studi Kasus Zona Kecepatan Rendah Hidayat, Muhammad Akbar Najib; Capah, Ade I.G; Juniarto, Reinaldi
Jurnal Migasian Vol. 5 No. 1 (2021): Jurnal Migasian
Publisher : LPPM Akademi Minyak dan Gas Balongan Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36601/jurnal-migasian.v5i1.132

Abstract

This paper investigates near surface velocity imaging in the full waveform inversion (FWI). Conventional traveltime tomography may produce inaccurate result for imaging low velocity zone. FWI compute synthetic seismic shot gathers associated with initial velocity depth model by acoustic finite difference forward modeling. The velocity model is updated by iteratively back propagate waveform residual to update velocity model. This method is applied to synthetic 2-D land data which has complex structure and low velocity zone beneath the high velocity layer. We compare near-surface velocity models derived from traveltime tomography and FWI at simple model The result is traveltime tomography produces inaccurate result for low velocity anomaly in 2-D land synthetic seismic data, than FWI. In addition, FWI can further improve the near surface velocity model which shows greater vertical and lateral resolution and reveals low velocity zone that is not present in the traveltime tomography. Near surface imaging affects the result of static correction in preprocessing stage. More accurate near surface velocity model, more satisfied the result of static correction. The pre-stack time migration (PSTM) section using statics from FWI model led to more accurate time imaging results compared to PSTM section using traveltime tomography velocity model. Nowadays, in the oil and gas industry, the exploration of hydrocarbon is located in complex structure. FWI is a high-end method and needed to produce seismic image accurately.
Perhitungan gas content berdasarkan formula Kim pada seam batubara formasi Muara Enim JUniarto, Reinaldi
Jurnal Teknologi dan Inovasi Industri (JTII) Vol 1, No 2 (2020)
Publisher : Fakultas Teknik, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtii.v1i2.20

Abstract

Indonesia merupakan negara yang memiliki sumberdaya batubara yang besar, salah satunya berada di formasi Muara Enim, Sumatra selatan. Pemanfaatan batubara biasanya digunakan untuk menghasilkan listrik melalui kalor hasil dari pembakaran batubara peringkat tinggi. Batubara tingkat rendah dapat menghasilkan gas metana yang disebut dengan Coal Bed Methane (CBM). CBM merupakan Gas Methane yang terdapat dan terbentuk pada Batubara selama terjadi aktivitas mikrobial (biogenic) atau panas (thermogenic) dalam proses pembentukan Batubara. Guna mendapatkan kandungan gas yang besar, maka seam batubara haruslah memiliki kedalaman yang besar juga. Semakin dalam maka semakin besar kandungan CBM. Salah satu hal yang berperan besardalam cbm adalah nilai gas content (GC) dan gas in place (GIP). Guna mendapatkan nilai gas content di perlukan perhitungan metode kim dengan menggunakan data proksimat batubara. Kemudian dilakukan perhitungan rumus Mavor Nelson untuk mendapatkan Gas in place dilokasi penelitian. Berdasarkan perhitungan formula kim dan rumus Mavor Nelson gas content sebesar 47-122,2 scf/ton dan gas in place sebesar 1628752 hingga 5987457 m3. berdasarkan penilaian gas content lokasi penelitian berpotensi sebagai pengembangan Coal Bed Methane.
Co-Authors Adithya Ramadhani Hasibuan Capah, Ade I.G Capah, Ade Indra Gurada Dicky Muslim Hidayat, Muhammad Akbar Najib M. Dwiki Satrio Najib, Muhammad Akbar Nurdrajat Nurdrajat Reza Mohammad Ganjar Gani