Jurnal Migasian
Jurnal Migasian adalah jurnal yang diterbitkan oleh LPPM Institut Teknologi Petroleum Balongan dan telah ber e-ISSN 2615-6695. Selain itu sesuai dengan SK Direktur Jenderal Penguatan Riset dan Pengembangan Kementrian Riset no. 225/E/KPT/2022 tanggal 7 Desember 2022, Jurnal Migasian terakreditasi SINTA 4. Jurnal Migasian akan menerbitkan artikel-artikel ilmiah dalam cakupan bidang ilmu teknik Perminyakan, Fire and Safety atau K3L (Kesehatan, Keselamatan, Keamanan, Lingkungan Kerja), serta disiplin ilmu keteknikan lainnya, dan bidang-bidang dengan ruang lingkup pengabdian kepada masyarakat. Artikel yang dimuat adalah artikel hasil penelitian dan pengabdian kepada masyarakat, kajian atau telaah ilmiah kritis dan komprehensif atas isu penting dan terkini atau resensi dari buku ilmiah. Terbit 2 kali dalam setahun pada bulan Juni dan Desember oleh LPPM Akademi Minyak dan Gas Balongan. Penulis yang artikelnya diterbitkan akan diberikan LOA, e-sertifikat, dan DOI.
Articles
111 Documents
<![CDATA[Identifikasi Batuan Berdasarkan Data Well Log Menggunakan K-Means Clustering ]]>
<![CDATA[Meredita Susanty]]>;
<![CDATA[Prinsislamsheeny Brilliantdianty Ebelaristra]]>;
<![CDATA[Ahmad Fauzan Rahman]]>;
<![CDATA[Ade Irawan]]>;
<![CDATA[Ikri Madrinovella]]>;
<![CDATA[Weny Astuti]]>
<![CDATA[ Jurnal Migasian Vol 4 No 1 (2020): Jurnal Migasian ]]>
Publisher : <![CDATA[LPPM Institut Teknologi Petroleum Balongan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36601/jurnal-migasian.v4i1.96
<![CDATA[One of the stages in oil and gas exploration is a Petrophysical analysis, which aims to determine the structure of rock layers below the earth's surface. The petrophysical analysis uses physical properties in a well-log to determine the rock type below the surface. Nowadays, the software for conducting petrophysical analysis has utilized a machine-learning approach to predict rock types. Most of the software uses the supervised learning method to classify rock types. This research uses a different approach, unsupervised learning, to group rock types based on various features in a well-log. Using a publicly available well-log in Stafford, United States, and the k-means clustering algorithm, this study groups the data into 3 clusters. The result is compared with manual analysis interpretation and shows an alignment between them. From the result, it shows that the unsupervised learning method effectively predicts limestone, shale, and evaporites in the well. It classifies the dataset into useful clusters, generates useful lithologies, provides useful rock characterization, and less time-consuming.]]>
<![CDATA[Pore Pressure Prediction Using Artificial Neural Network Based On Logging Data ]]>
<![CDATA[RAKA SUDIRA WARDANA]]>;
<![CDATA[Meredita Susanty]]>;
<![CDATA[Hapsoro B.W]]>
<![CDATA[ Jurnal Migasian Vol 4 No 1 (2020): Jurnal Migasian ]]>
Publisher : <![CDATA[LPPM Institut Teknologi Petroleum Balongan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36601/jurnal-migasian.v4i1.97
<![CDATA[Pore pressure is a critical parameter in designing drilling operations. Inaccurate pore pressure data can cause problems, even incidents in drilling operations. Pore pressure data can be obtained from direct measurement methods or estimated using indirect measurement methods such as empirical models. In the oil and gas industry, most of the time, direct measurement is only taken in certain depth due to relatively high costs. Hence, empirical models are commonly used to fill in the gap. However, most of the empirical models highly depend on specific basins or types of formation. Furthermore, to predict pore pressure using empirical models accurately requires a good understanding in determining Normal Compaction Trendline. This proposed approach aims to find a more straightforward yet accurate method to predict pore pressure. Using Artificial Neural Network Model as an alternative method for pore pressure prediction based on logging data such as gamma-ray, density, and sonic log, the result shows a promising accuracy.]]>
<![CDATA[UPAYA UPAYA MENINGKATKAN KEMAMPUAN KOGNITIF ANAK MENGENAL ANGKA DI PAUD KASIH IBU: KEMAMPUAN KOGNITIF ]]>
<![CDATA[Afif Alfiyanto]]>
<![CDATA[ Jurnal Migasian Vol 4 No 1 (2020): Jurnal Migasian ]]>
Publisher : <![CDATA[LPPM Institut Teknologi Petroleum Balongan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36601/jurnal-migasian.v4i1.98
<![CDATA[Early Childhood Islamic Education is considered very necessary to provide donations and energy to improve the memory of knowledge about how to wash hands for PAUD children in Ulak Ketapang village as an educational solution for young people in the region. Therefore the programs that are arranged are expected to have added value to the community, not only in physical form but also in the form of increased motivation to learn in the community especially the young generation in the Regular KKN location. This study was descriptive qualitative research. The data are collected through interviews, observation, and documentation. Then the data were analyzed in three steps, 1) data reduction, 2) data presentation, 3) concluding/ verification. The results of this research shows that indicate by using guessing numbers, children can calculate directly the existing numbers. In accordance with the thinking of children which are concrete, children need to be presented with learning that can be seen directly. They can observe and follow the guessing game numbers presented by the teacher.]]>
<![CDATA[Penerapan Ekologi Industri Dalam Membangun Eco Industrial Park Pada Kawasan Industri Kota X ]]>
<![CDATA[Sari Sekar Ningrum]]>;
<![CDATA[Dody Guntama]]>
<![CDATA[ Jurnal Migasian Vol 4 No 1 (2020): Jurnal Migasian ]]>
Publisher : <![CDATA[LPPM Institut Teknologi Petroleum Balongan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36601/jurnal-migasian.v4i1.104
<![CDATA[Konsep ekologi industri telah banyak diterapkan di berbagai negara. Ekologi industri diterapkan dengan saling mengintegrasikan beberapa industri untuk mengurangi penggunaan bahan baku dari alam, mengefisiensi penggunaan energi dan memanfaatkan limbah buangan dari suatu industri untuk digunakan Kembali sebagai bahan baku industri yang lainnya.Penerapan ekologi industri dalam membangun eco industrial park ini dilakukan dengan mengintegrasikan 6 (enam) industri yang tedapat pada kawasan industri kota X. Melihat dari proses ke enam industri tersebut dapat dilihat bahwa eco industrial park dapat diterapkan pada Kawasan industri Kota X]]>
<![CDATA[Analisis Perpindahan Panas Pada Panas Buang Kondensor Air Conditioning Untuk Pemanfaatannya Sebagai Pengering Pakaian ]]>
<![CDATA[Taufiqur Rokhman]]>;
<![CDATA[Sugeng Sugeng]]>
<![CDATA[ Jurnal Migasian Vol 4 No 1 (2020): Jurnal Migasian ]]>
Publisher : <![CDATA[LPPM Institut Teknologi Petroleum Balongan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36601/jurnal-migasian.v4i1.109
<![CDATA[Potensi panas terbuang dari kondensor AC (Air Conditioning) saat ini hanya menjadi limbah energi yang terpapar ke lingkungan sekitar. Limbah panas ini berpotensi sebagai sumber energi yang dapat dimanfaatkan untuk proses pengeringan. Jika dilihat dari potensi panas yang dihasilkan kondensor yang cukup besar (lebih besar 3 kali daya listrik kompresor dan temperatur udara panas > 40°C), maka panas terbuang itu sangat baik digunakan dalam proses pengeringan. Panas buang dari kondensor dalam penelitian ini dimanfaatkan untuk mengeringkan baju basah di saat cuaca tidak memungkinkan untuk mengeringkan di bawah panas sinar matahari. Pengeringan merupakan proses penurunan kadar air bahan sampai mencapai kadar air tertentu hingga nol. Metode yang diterapkan pada penelitian ini adalah eksperimen. Objek dalam hal ini baju dilakukan penimbangan massanya sebelum dan sesudah pengeringan. Selanjutnya dari perbandingan massa baju sebelum dan setelah proses pengeringan, dapat diketahui kadar air yang terevaporasi sebagai akibat penyerapan panas dari panas buang kondensor. Dalam proses pengeringan tersebut, ditetapkan waktu pengeringan baju yang sama untuk kedua AC. Dari beberapa parameter panas buang yang diteliti, melalui perhitungan teliti diketahui selisih massa baju sebelum dan sesudah pengeringan pada masing-masing kondensor (AC) serta laju perpindahan panas (konveksi) dari panas buang kondensor ke baju basah. Selisih massa baju A sebelum dan sesudah pengeringan adalah 245,3 g, lebih kecil dibandingkan selisih massa baju B sebelum dan sesudah pengeringan yakni 282,7 g. Nilai Laju perpindahan panas rata-rata untuk ketiga temperatur setting pada AC 2 adalah 16,9939 W, lebih tinggi dibandingkan dengan nilai laju perpindahan panas rata-rata untuk ketiga temperatur setting pada AC 1 yakni hanya sebesar 6,5520 W.]]>
<![CDATA[Optimasi Clinker Ratio Pada Portland Pozzoland Cement (PPC) Dengan Pozzoland Fly ash ]]>
<![CDATA[Herliati herliati]]>;
<![CDATA[Dyah Puspita Asyha]]>;
<![CDATA[Lukman Nulhakim]]>
<![CDATA[ Jurnal Migasian Vol 4 No 2 (2020): Jurnal Migasian ]]>
Publisher : <![CDATA[LPPM Institut Teknologi Petroleum Balongan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36601/jurnal-migasian.v4i2.126
<![CDATA[Portland Pozzoland Cement (PPC) adalah semen hidrolis yang terdiri dari campuran homogen antara semen portland dan pozzoland halus. Semen ini dihasilkan dengan cara menggiling clinker, limestone, gypsum, fly ash secara bersama-sama sehingga partikel memiliki kehalusan tertentu. Penelitian ini bertujuan untuk mengetahui pengaruh subtitusi klinker oleh fly ash terhadap sifat kimia dan fisika semen. Secara kimia, kandungan MgO dan SO3 berpengaruh pada kualitas semen dianalisis menggunakan X-RayFluorescence (XRF). Selain itu juga dilakukan pengujian terhadap lama waktu pengikatan dan kuat tekan mortar. Metode yang dilakukan untuk pengujian sifat fisika semen dilakukan sesuai dengan standar ASTM C270 dan SNI 0302-2014. Komposisi fly ash yang ditambahkan ke dalam campuran bervariasi dalam kisaran 6% sampai dengan 40% berat. Lama waktu pengikatan dan kuat tekan ditentukan pada umur mortar 1, 3, 7, dan 28 hari. Hasil analisis memperoleh nilai optimum pada sampel PPC-8 dimana komposisi fly ash 40%. Pada komposisi optimum ini diperoleh kuat tekan sebesar 423 kg/cm2, kehalusan semen 3760 cm2/gr, waktu pengikatan awal 155 menit dan waktu pengikatan akhir 215 menit]]>
<![CDATA[Tomografi Seismik Menggunakan Full Waveform Inversion Pada Studi Kasus Zona Kecepatan Rendah ]]>
<![CDATA[Muhammad Akbar Najib Hidayat]]>;
<![CDATA[Ade I.G Capah]]>;
<![CDATA[Reinaldi Juniarto]]>
<![CDATA[ Jurnal Migasian Vol 5 No 1 (2021): Jurnal Migasian ]]>
Publisher : <![CDATA[LPPM Institut Teknologi Petroleum Balongan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36601/jurnal-migasian.v5i1.132
<![CDATA[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.]]>
<![CDATA[Evaluasi Sumur Injeksi Pada Lapangan Panas Bumi Hululais, Bengkulu ]]>
<![CDATA[Riza Andhika Mahendra Putra]]>;
<![CDATA[Febiasto Bimantoro]]>;
<![CDATA[Ade Indra Gurada Capah]]>;
<![CDATA[Cahyadi Julianto]]>
<![CDATA[ Jurnal Migasian Vol 4 No 2 (2020): Jurnal Migasian ]]>
Publisher : <![CDATA[LPPM Institut Teknologi Petroleum Balongan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36601/jurnal-migasian.v4i2.134
<![CDATA[Lapangan panasbumi Hululais terletak di Bengkulu yang dioperasikan oleh PT Pertamina Geothermal Energy (PGE) memasuki tahap pengembangan dengan 10 cluster dan 21 sumur, terdiri dari 16 sumur produksi dan 5 sumur re-injeksi untuk pembangkit 2x55 MW. Reservoir Hululais bertipe dominasi air dengan temperatur 250oC sampai 280oC memerlukan evaluasi kapasitas injeksi kelima sumur injeksi untuk memenuhi pembuangan seluruh air brine hasil dari separator dan cooling tower. Kapasitas injeksi dari perhitungan analisa nodal (Brown,1984) diperoleh kapasitas injeksi aktual total dari ke lima sumur injeksi dengan suhu air brine 170.9 oC adalah sebesar 318,4 kg/s, total air brine dari separator 746,3 kg/s, dan air brine yang tidak terinjeksikan sebesar 427.9 kg/s. Pada tahun 2018 dilakukan pengkajian akibat adanya penurunan kapasitas injeksi secara drastis yaitu sumur HLS-1 mengalami penurunan yang cukup besar yaitu sekitar 28.4 kg/s dari produksi awal yang sebesar 52 Kg/s, sedangkan sumur HLS-2 sekitar 37.8 kg/s dari produksi awal yang sebesar 77 kg/s, dan sumur HLS-3 sekitar 118.8 kg/s dari produksi awal yang sebesar 148 kg/s. Kemudian dilakukan analisa diperoleh nilai calcite scaling index sebesar 1.32 (SI>0) yang menunjukkan bahwa ada kecenderungan untuk terbentuk scaling yang dapat ditanggulangi dengan hydrofrac pada pada sumur HLS-1, HLS-2, dan HLS-3. Hydrofrac yang dilakukan mengakibatkan peningkatan nilai permeabilitas sebesar 50% sehingga nilai injectivity index meningkat. Dalam mengatasi sisa air brine dilakukan dengan injeksi dingin dengan suhu air brine 94.5oC, maka didapatkan hasil rekomendasi sebesar 777.5 kg/s.]]>
<![CDATA[Designing Liquid-Gas Rate Window of Aerated Drilling Using Guo-Ghalambor Method ]]>
<![CDATA[Fauzia Fadhila Anwar]]>;
<![CDATA[Raka Sudira Wardana]]>
<![CDATA[ Jurnal Migasian Vol 4 No 2 (2020): Jurnal Migasian ]]>
Publisher : <![CDATA[LPPM Institut Teknologi Petroleum Balongan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36601/jurnal-migasian.v4i2.135
<![CDATA[Loss circulation is a common problem in geothermal drilling due to naturally fractured formation and depleted reservoir pressure. This problem might lead to another problem such as a stuck pipe. In some cases, LCM is not effective in curing loss in a naturally fractured formation and cannot be used to cure loss circulation in the production zone. One of the methods that can be used to prevent loss circulation and also preventing reservoir damage in geothermal drilling is underbalanced drilling or aerated drilling. In an underbalanced or aerated drilling operation, the ratio of air injection rate ad liquid rate is critical to ensure the cutting carrying capacity while preventing hole problems. Usually, computer simulations are used to determine the safe gas-liquid rate limit due to the complexity of the multiphase flow in an underbalanced drilling system. Since the simulation software is not always available, a simpler and reliable method is needed to determine the gas-liquid rate limit in aerated drilling. the purpose of this paper is to design the operating window of the gas-liquid rate ratio in aerated drilling. the purpose of this paper is to design the operating window of gas-liquid rate ratio in aerated drilling using a simple yet reliable method such as the Guo-Ghalambor Liquid-Gas Rate Window method. The result of this research is a gas-liquid rate envelope that can be used to promote good cutting transport, preventing formation and borehole damaged while preventing loss circulation in geothermal well.]]>
<![CDATA[Analisa Geopressure Pada Sumur Gas Lapangan Sumatera Utara Untuk Evaluasi Problem Partial Loss Pada Trayek 8 ½" ]]>
<![CDATA[Ade Indra Gurada Capah]]>;
<![CDATA[Muhammad Akbar Najib]]>;
<![CDATA[Reinaldi Juniarto]]>
<![CDATA[ Jurnal Migasian Vol 4 No 2 (2020): Jurnal Migasian ]]>
Publisher : <![CDATA[LPPM Institut Teknologi Petroleum Balongan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.36601/jurnal-migasian.v4i2.137
<![CDATA[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 ".]]>
