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All Journal LEMBARAN PUBLIKASI MINYAK DAN GAS BUMI Scientific Contributions Oil and Gas
Heru Atmoko
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Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Energy Environmental Science

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Apakah Estimasi Porositas dari Log Akustik Cukup Akurat untuk Batuan yang Tersaturasi Secara Parsial – Sebuah Alternatif Sederhana untuk Mengurangi Heru Atmoko; Rosidelly Rosidelly; Bambang Widarsono; Fakhriyadi Saptono
Lembaran Publikasi Minyak dan Gas Bumi Vol. 38 No. 1 (2004): LPMGB
Publisher : BBPMGB LEMIGAS

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Abstract

Dalam memperkirakan harga besaran porositas dapat digunakan bermacam-macam metode, antara lain dengan merambatkan gelombang akustik pada media berpori dengan memberikan interpretasi kecepatan gelombang tersebut. Pada tahun 1956 Wyllie dkk mengajukan persamaan waktu rata-rata (time average), yang merupakan hubungan linier antara waktu dan porositas berdasarkan hasil penelitian terhadap batuan pasir (sandstone) di laboratorium. Persamaan Wyllie di atas sebenarnya hanya berlaku pada kondisi dimana batuan yang diukur porositasnya mengandung hanya air saja, dengan porositas yang seragam, bersih dari lempung, dan kompak. Contoh yang dapat dianggap paling relevan adalah daerah di sekitar lubang bor. Fakta di sekitar lubang bor tersebut diperkirakan dapat menyebabkan bias dalam memperkirakan harga besaran porositas batuan karena asumsi yang lazim dalam menggunakan persamaan Wyllie adalah batuan tersaturasi secara penuh oleh satu jedis fluida saja. Beragamnya saturasi fluida di formasi ternyata dapat mempengaruhi akurasi perhitungan porositas yang dihasilkan dari log akustik. Untuk mendapatkan besaran porositas yang akurat diperlukan pemilihan waktu transit matriks batuan dan waktu transit fluida yang cukup mewakili. Suatu bentuk koreksi atas perhiitungan porositas akustik pada kondisi saturasi air kurang dari 100% telah dibangun beserta penerapan di laboratorium. Perlu dilakukan penelitian lebih lanjut terhadap litologi lainnya seperti pada formasi karbonat untuk mengetahui sejauh mana validasinya atas bentuk koreksian yang telah dibangun
Kajian Singkat atas Syarat Kenonkonduktifan Matriks Batuan dalam Model Saturasi Air Archie Heru Atmoko; Bambang Widarsono; Rosidelly
Lembaran Publikasi Minyak dan Gas Bumi Vol. 36 No. 2 (2002): LPMGB
Publisher : BBPMGB LEMIGAS

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Seperti diketahui secara umum model estimasi saturasi air Archie dibangun dengan anggapan dasar hahwa model tersehut hanva valid pada batupasir yang bebas dari mineral konduktif apa pun. Ketidakpastian dalam pemilihan model saturasi air yang tepat menjadikan bahwa anggapan tersebut harus dikaji kembali dengan pengujian langsung di laboratorium. Tulisan ini menyajikan hasil dari pengukuran sifat kelistrikan dari dua buah percontoh batupasir sintetik berkandungan lempung kaolinit 10%, dan 25% dari volume matriks. Penerapan model Archie dan Waxman & Smits memperlihatkan adanva korelasi yang baik antara saturasi air terestimasi dan data saturasi air yang teramati langsung. Bukti ini memperlihatkan hahwa syarat kenonkonduktifan matriks bagi model Archie tidak perlu diterapkan secara ketat. Dengan demikian telah dibuktikan hahwa model Archie dapat diterapkan untuk batupasir berkandungan mineral konduktif/semi-konduktif sampai pada tingkat yang dapat diterima.
Estimation Of Water Saturation In Carbonate Reservoirs Without Resistivity Log Data. Part Ii: Formulation Of A New Model Bambang Widarsono; Heru Atmoko; Ridwan Ridwan; Kosasih Kosasih
Scientific Contributions Oil and Gas Vol 32 No 1 (2009)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/SCOG.32.1.827

Abstract

This paper is the second part of the two-part report on study for establishing alternative models that are valid for Indonesian carbonate reservoirs. In this second part formulation of the new models is presented. For the study, 407 plug samples taken from various limestone reservoirs in Indonesia were used. Following Lucia’s procedure the samples were classified, grouped, averaged, and their capillary pressure data was formulated to form water saturation models that are essentially functions of porosity and height above free water level. Validity test on the models are performed on two wells in West Java with very encouraging results. With using the Archie model as reference, justified using well test data, the new models prove themselves reliable while the original Lucia models provide far too optimistic estimates. The model validity check shows tha the models are valid for at least Class 1 and Class 2 rocks in accordance with Lucia classification. Study on Class 3 rock is needed in the future
Fuzzy Logic As A Tool For Estimating Production Potential Of A Sand Layer Bambang Widarsono; Heru Atmoko; Fakhriyadi Saptono; Tunggal Tunggal; Ridwan Ridwan
Scientific Contributions Oil and Gas Vol 27 No 3 (2004)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/SCOG.27.3.872

Abstract

In production management, a prior knowledge over production potential of a candidate sand layer (geological complexity in Indonesia has led to existence of stratified reservoirs with a set of layers) to be opened is always desirable. The common practice performed during drilling and completion activities of a production well is through the use of well testing and fluid sampling. From the test, fluid dynamic data such as total liquid rate, water cut, and gas cut are produced. A similar set of data is also required for more mature fields for the purpose of monitoring through the running of routine production and/or swab tests.Although the tests, especially flow tests during drilling and completion, are always regarded as the only source of proof about productive layer(s) production potential, an alternative means that can be used to provide estimates is always desired. The main reason is that flow tests are costly so that only layer(s) considered as the most potential are to be assigned for testing. Layer(s) that are considered less potential are left untested, eventhough in some cases they are also set on production during the well's production phase.The idea of establishing a method that can provide illustration over production potentials of all layer(s) always exists. Certainly, there are approaches to serve the purpose such as productivity index (PI) analogy and petrophysical through fractional flow measurement in a core laboratory. However, those approaches are often considered inadequate in accommodating various factors that may influence production potential.To materialize the idea stated above, the pattern recognition approach was taken. This approach was taken in order to model the relationships between various fac- tors in wellbore and production potential without being trapped by the certain complexity that occurs in any mathematical expressions trying to explain the relationships. For the purpose, fuzzy logie (a branch in ArtificialIntelligence) has been used. The choice is actually based on its ability to accommodate both numeric and non-numeric data. Some non-numeric data such as lithology and pore system also have some degrees of influence on production potential. With a tool that enables us to have production potential estimates of reservoir layers, from which layers with the most promising potential are taken to undergo flow tests. Furthermore, as flow test data has been acquired and used as feedback and calibration by the fuzzy model, production potential of layer(s) with less promising or ambiguous prospect can also be predicted.
An Intelligent Approach For Obtaining True Resistivity (𝑅𝑇) From Rock Acoustic Data : A Laboratory Verification Bambang Widarsono; Fakhriyadi Saptono; Heru Atmoko
Scientific Contributions Oil and Gas Vol 26 No 1 (2003)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/SCOG.26.1.875

Abstract

Rock true resistivity (Rt) is known as more sensitive than compressional-wave velocity (Vp), the principal output of a seismic survey, to variation in water saturation. Therefore, it would be of a great value if there were a way to predict resistivity distribution from seismic signals. This study is essentially an effort to see the possibility of predicting Rt from Vp through a pattern recognition approach. For the purpose, a series of laboratory tests were performed on some Central Sumatran clay-free sandstone samples of various porosity values and at various water saturation levels. For studying the pattern of relationship, artificial neural networks (ANNs) were applied. From the ‘training’ (i.e.pattern recognition) activity performed using the ANNs, it has been show between Vp and Rt in the following ‘blind test’, it has also been shown that the trained relationship can be used to estimate Rt reliably using other data as input. Comparisons between estimated and observed Rt data have indicated good agreement implying the success of the approach taken in the study. This has laid the foundation and justification for further application of the approach on seismic and well-log data.
Co-Authors Bambang Widarsono Fakhriyadi Saptono Kosasih Ridwan Ridwan Rosidelly Rosidelly Rosidelly Tunggal Tunggal