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Abstrak :
Analisa log petrofisika dilakukan untuk mengetahui nilai parameter petrofisika batuan dalam formasi sehingga dapat menjadi bahan pendukung evaluasi kondisi reservoar serta identifikasi zona prospek hidrokarbon dan jenis hidrokarbon dari suatu lapangan eksplorasi. Parameter petrofisika yang diperoleh dideskripsikan dengan lebih sederhana dalam bentuk lumping. Dalam penelitian ini dilakukan evaluasi formasi reservoar pada lapangan Boonsville berdasarkan analisa log petrofisika dari data 38 sumur yang berada pada lapangan Boonsville. Hasil akhir penelitian ini berupa log parameter petrofisika yaitu porositas, saturasi air, kandungan lempung, movable oil saturation, residual oil saturation, dan movable hydrocarbon index yang kemudian dirangkum dalam tabel laporan hasil lumping reservoar lapangan Boonsville. ......Petrophysical log analysis is performed to determine the petrophysical parameters of rocks in the formation so it can be a support for evaluation of reservoir conditions and identification of prospects hydrocarbon zones and types of hydrocarbons from a field of exploration. Petrophysical parameters are described in more modest in the form of lumping. In this study the evaluation of reservoir formation in the Boonsville field based on petrophysical log analysis of 38 wells data. The final results of this study in the form of log petrophysical parameters of porosity, water saturation, clay volume, movable oil saturation, residual oil saturation, and movable hydrocarbon index and then summarized in the table reports the results of field Boonsville lumping reservoir.

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Pengaruh Penurunan Kadar Oksigen dalam Ruangan dengan Timbulnya Gejala Hipoksia dan Nilai Pemeriksaan Gas Darah (Suatu Studi Eksperimental)

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The Effects of Declined Oxygen Level with Hypoxia Symptoms and Blood Gases Examination (An Experimental Study)

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Permasalahan yang umum pada operasional transformator daya adalah timbulnya kegagalan (failure), baik kegagalan termal maupun kegagalan elektris. Kegagalan termal dan kegagalan elektris umumnya menghasilkan gas-gas berbahaya yang biasa dikenal sebagai fault gas. Kebanyakan transformator daya biasanya menggunakan minyak isolator yang fungsinya selain sebagai pendingin juga untuk melarutkan gas-gas berbahaya tersebut agar tidak beredar bebas. Mengindentifikasi jenis dan jumlah konsentrasi gas yang terlarut pada minyak dapat memberikan informasi akan adanya indikasi kegagalan yang terjadi pada transformator. Metode untuk mengidentifikasi dan menganalisis gas-gas terlarut pada minyak disebut sebagai DGA (Dissolved Gas Analysis). Skripsi ini akan membahas bagaimana uji DGA dapat mengidentifikasi indikasi kegagalan yang terjadi pada transformator. Sejumlah sampel minyak diambil dari minyak isolator pada sebuah transformator daya lalu sampel tersebut dimasukkan ke dalam peralatan uji DGA. Hasilnya adalah sejumlah data yang menunjukkan tingkat konsentrasi fault gas. Transformator dan minyak isolator yang diujikan masih berada dalam kondisi yang baru. Setelah memperoleh sejumlah data, selanjutnya dilakukan berbagai metode analisis untuk mengetahui indikasi kegagalan yang ada pada transformator daya yang diujikan. Berdasarkan data yang diperoleh bahwa pada awalnya transformator diindikasikan mengalami kerusakan dalam tingkat yang cukup parah. Hal ini terindikasi dari tingginya nilai gas etilen, karbon monoksida, dan karbon dioksida. Seiring pertambahan temperatur minyak, maka nilai konsentrasi fault gas juga semakin tinggi. Hal ini seharusnya tidak terjadi mengingat kondisi transformator dan minyak isolator yang masih baru. Ketika sudah dilakukan proses perbaikan transformator dan pembersihan minyak, maka nilai konsentrasi fault gas turun dengan drastis. Beberapa waktu setelah proses pembersihan minyak, kondisi ini terus berlanjut. Hal ini menunjukkan bahwa transformator berada dalam kondisi normal. Sehingga dapat diambil kesimpulan akhir bahwa ada proses yang menyalahi prosedur ketika transformator belum diaktifkan, baik dari saat perangkaian, pemvakuman ataupun proses pengisian minyak.

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A problem that always occur when a power transformer is being operated is failure, both thermal fault and/or electrical fault. Thermal failure and electrical failure generally produce some gasses that known as fault gasses. Most of power transformers are usually using oil insulator that has functions as transformer cooler and as a solvent material to dissolve those fault gasses. Indentifying type and quantity of those gasses will gave us some information about indication of failure that occur in transformer unit. A method to identify and analyze fault gasses that dissolved in transformer oil is known as DGA ? Dissolved Gas Analysis. This paper presents about how DGA testing can identify fault indicator that occur in transformer. Several oil samples are taken from oil insulator in a power transformer, and then those samples are tested by using DGA analyzer device. The result is some data that show concentration value of fault gasses. Transformer and oil insulator being tested are in fresh condition. After receive some data then some analysis methods are applied to distinguish fault indicator that occur in power transformer that have been tested. Earlier data shows that transformer is breakdown in a severe level. This condition is indicated from the high values of some gasses, such as ethylene, carbon monoxide, and carbon dioxide. As the oil temperature increase, concentration values from fault gasses are also increase. This condition is not supposed to be happened because both transformer and oil insulator are in fresh condition. When transformer and oil insulator are already treated, so the concentration value of fault gasses will decrease significantly. Several periods after oil insulator are treated, this condition is keep continuing. So, the final conclusion is that transformer is on a normal condition. Breakdown condition from early data is occur because there are some process that out of procedure when transformer is not activated, can be either from installation, vacuuming, or oil filling process.

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How does a marble manufacturer know that the color will be consistent throughout the products being made? How can you tell if liquid at the bottom of a container is the same consistency as at the top? How does a pellet manufacturer know if the pellets are consistently the same size? How does a chemical manufacturer know if the percent purity in a sample is representative of the whole batch? These and similar questions are answered in A Primer for Sampling Solids, Liquids, and Gases: Based on the Seven Sampling Errors of Pierre Gy. Statisticians are well trained in sampling techniques if the sample is well defined. Examples of such samples include industrial parts in manufacturing, invoices in business processes, and people in surveys. However, what if the sampling unit isn't well defined? What if you are sampling bulk material such as a pile of coal? Author Patricia L. Smith illustrates what to look for in sampling devices and procedures to obtain correct samples from bulk materials. She gives sampling guidelines that can be applied immediately and shows how to analyze protocols to uncover sampling problems. Smith presents the ideas of Pierre Gy in lay terms so that his concepts and principles can be easily grasped and applied. She conveys Gy's intuitive meaning while preserving his original ideas. Synonyms have been used for some technical terms to avoid confusion.