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"Eksplorasi panas bumi merupakan tahapan yang sangat penting pada kegiatan pengusahaan panas bumi karena memiliki tingkat resiko kegagalan pemboran yang sangat tinggi serta biaya yang dikeluarkan cukup besar. Oleh karena itu, diperlukan interpretasi terpadu berdasarkan data geosains untuk mendelineasi prospek sistem geothermal Gn. Lawu sehingga penentuan lokasi pemboran mempunyai tingkat kepastian yang lebih tinggi. Dalam mendelineasi sistem geothermal sangat ditentukan dengan sebaran batuan resistivitas rendah yang mengindikasikan adanya lapisan penudung (caprock) yang didominasi oleh material lempung. Selain itu, target utama dari eksplorasi panas bumi adalah temperatur dan permeabilitas batuan yang tinggi. Distribusi sebaran temperatur bawah permukaan dapat diperkirakan melalui data manifestasi pada lokasi penelitian. Sedangkan permeabilitas tinggi berasosiasi dengan zona patahan dimana fluida dapat mengalir ke permukaan. Magnetotelluric (MT) merupakan metode geofisika pasif yang melibatkan pengukuran fluktuasi medan listrik dan magnet alam sebagai sarana untuk menentukan resistivitas batuan di bawah permukaan bumi dimana pemodelan data MT dapat dilakukan menggunakan inversi 3D. Untuk memahami lebih lanjut mengenai pemodelan MT tersebut, maka penelitian ini difokuskan pada inversi 3D dengan MT3Dinv-X yang kemudian diintegrasikan dengan data dukung gravitasi, geologi dan geokimia untuk mendelineasi sistem geothermal Gn. Lawu. Hasil akhir penelitian ini adalah memberikan rekomendasi pola sebaran resistivitas batuan serta membuat model konseptual untuk menentukan area target pemboran pada daerah penelitian.

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Geothermal exploration is crucial step in geothermal business because it has uncertainty drilling result and high cost. Therefore, an integrated interpretation based on geosciences data is needed to delineate the prospect of Gn. Lawu geothermal system so the location of drilling could be more convince. The distribution of low resistivity rocks that indicating the presence of a caprock which is dominated by the material of clay. Moreover, the main target of geothermal exploration is the high temperature and permeability of rocks. The distribution of subsurface temperature can be estimated through the manifestation data on site. High permeability is associated with a fault zone where fluid can flow to the surface. Magnetotelluric (MT) is a passive geophysical method that involves measuring the fluctuations of electric and natural magnetic fields as a means of determining the resistivity of rocks beneath the Earth's surface where MT data modeling can be performed using 3D inversion. To understand more about the MT modeling, this research is focused on 3D inversion with MT3Dinv-X which is then integrated with gravity, geological and geochemical support data to delineate Gn. Lawu geothermal system. The final result of this research is to recommend the pattern of distribution of rock resistivity as well as to create conceptual model to determine drilling target area in research area."

"Daerah Lawu terletak di Kabupaten Karanganyar - Jawa Tengah dan Kabupaten Magetan - Jawa Timur. Dari data geologi, daerah gunung Lawu terdiri dari lava yang terjadi secara berkala dimana umur lava tersebut termasuk dalam umur batuan kuarter (Plistosen). Lawu merupakan zona vulkanik. Daerah Lawu merupakan daerah prospek Geothermal yang ditandai oleh adanya manifestasi permukaan seperti fumarole dan mata air panas dan telah dilakukan survey untuk memastikan itu. Survey yang dilakukan adalah survey Geofisika dengan metode Magnetotellurik untuk memastikan permukaan di dalam tanah. Dalam metode Magnetotellurik ini ada tahapan-tahapannya seperti : akuisisi, processing dan interpretasi. Dalam tahap processing nantinya akan ada tahap pre-processing, yaitu mengubah domain waktu ke frekuensi, parameter robust dan seleksi cross power, tahap koreksi statik, dan tahap inversi. Setelah mendapatkan hasil inversi, maka akan dilakukan korelasi antara data geologi dan data geokimia untuk tahapan interpretasi. Hasil dari keseluruhannya tersebut akan dibentuk dalam satu model sehingga akan terlihat gambaran di bawah permukaan tanah tersebut. Dari hasil didapatkan bahwa top reservoar terdapat pada elevasi 500-1000 m. Sedangkan dari data geokimia, untuk pendugaan temperatur sekitar 250 oC dengan menggunakan termometer gas CO2. Jadi, sistem geothermal yang ada di daerah lawu merupakan sistem geothermal tipe moderate.

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The area of Lawu is located in Karayanyar Regency – East Java and Magenta Regency - Central Java. From geological data, the Lawu mountain area consist of lava that happens regularly where the lava are included in the old of quarter (Pleistocene). The Lawu is a volcanic zone. The area of Lawu is geothermal prospect areas are characterized by the presence of surface manifestations such as fumaroles and hot springs and have conducted a survey to ascertain that. Survey is a conducted by the Geophysical magnetotelluric method to ensure the soil surface.

In the magnetotelluric method there its phases such as: acquisition, processing and interpretation. In a later phase of processing will be pre-processing phase, which convert the time domain to the frequency, and the selection of robust parameter cross power, static correction phase, and phase inversion. After getting the results of the inversion, there will be a correlation between the data for geological and geochemical data interpretation phases.

The results of the whole will be formed into a single model that will look the picture below the soil surface. From the results it was found that there is a top reservoir at an elevation of 500-1000 m. while from geochemical data, to estimate the temperature around 250oC by CO2 thermometer. So, geothermal systems in areas of the Lawu are moderate type of geothermal system."

"[Kegiatan eksplorasi geothermal bertujuan mengetahui sistem geothermal daerah penyelidikan yang meliputi model dan batas prospek, karakteristik dan potensial reservoir dan hidrogeologi, untuk penentuan target pemboran, dilanjutkan dengan pemboran eksplorasi.Hasil inversi 3-dimensi data MT akan menyajikan distribusi struktur resistivitas bawah permukaan.Pemboran eksplorasi geothermal bertujuan untuk membuktikan adanya sumber daya geothermal dan menguji model sistem geothermal yang telah dibuat. Kriteria target pemboranadalah area yang memiliki temperature dan permeabilitas yang tinggi. Pada waktu pemboran sumur panas bumi ditembusnya zona bertemperatur tinggi yang disertai atau diikuti dengan terjadinya loss of circulation sangat diharapkan (permeabilitas tinggi), karena merupakan suatu indikasi telah ditembusnya rekahan-rekahan yang diharapkan merupakan zona produksi (feed zone).Untuk menguji model sistem yang dibuat dilakukan korelasi antara data hasil pemboran dengan inverse 3D data MT, khususnya nilai resistivity lapisandengan data temperatur, kandungan mineral alterasi, geokimia dari data pemboran.Dari hubunganantar parameter akan terlihat karakteristik sistem geothermal di daerah penyelidikan, yang memperlihatkan zona prospek yang berhubungan dengan temperature dan permeabilitas yang tinggi. Dari hasil evaluasi akan dilakukan rekonstruksi system geothermal daerah penyelidikan, yang lebih mendekati kondisi bawah permukaan dan dapat dipergunakan untuk membuat rekomendasi pemboran selanjutnya dan arah pengembangan di masa yang akan datang;Geothermal exploration activities aimed at knowing the geothermal system that includes model and boundary the prospects, potential and reservoir characteristics and also hydrological system. By using 3D inversion of MT data, subsurface resistivity distribution structure can be obtained and with the addition of other geosciences data, LumutBalai geothermal system can be constructed. Futhermore, drilling targets zone can be identified from geothermal system which then followed by exploration drilling .Geothermal exploration drilling is carried out to verify the existence of geothermal resources and test the geothermal systems which previously has been made. Drilling target criteria is the area which consist of high temperature and permeability. During geothermal drilling, it is expected that high temperature zone shall be encountered. It will be followed by loss circulation zone which indicates that fractures have already been penetrated and confirm that feed zone has been discovered.In order to test constructed model, correlation between drilling data and 3D MT inverse is carried out, particularly values of resistivity layer with temperature data, alteration mineralcomposition, and geochemical data derived from drilling.Parameter correlation will explain geothermal system characteristics in study area which delineates prospect zones and its association with high temperature and permeability. The evaluation results of this study will reconstruction geothermal system the investigation area, which can be used to develop a recommendation of subsequent drilling and further development direction;Geothermal exploration activities aimed at knowing the geothermal system that includes model and boundary the prospects, potential and reservoir characteristics and also hydrological system. By using 3D inversion of MT data, subsurface resistivity distribution structure can be obtained and with the addition of other geosciences data, LumutBalai geothermal system can be constructed. Futhermore, drilling targets zone can be identified from geothermal system which then followed by exploration drilling .Geothermal exploration drilling is carried out to verify the existence of geothermal resources and test the geothermal systems which previously has been made. Drilling target criteria is the area which consist of high temperature and permeability. During geothermal drilling, it is expected that high temperature zone shall be encountered. It will be followed by loss circulation zone which indicates that fractures have already been penetrated and confirm that feed zone has been discovered.In order to test constructed model, correlation between drilling data and 3D MT inverse is carried out, particularly values of resistivity layer with temperature data, alteration mineralcomposition, and geochemical data derived from drilling.Parameter correlation will explain geothermal system characteristics in study area which delineates prospect zones and its association with high temperature and permeability. The evaluation results of this study will reconstruction geothermal system the investigation area, which can be used to develop a recommendation of subsequent drilling and further development direction, Geothermal exploration activities aimed at knowing the geothermal system that includes model and boundary the prospects, potential and reservoir characteristics and also hydrological system. By using 3D inversion of MT data, subsurface resistivity distribution structure can be obtained and with the addition of other geosciences data, LumutBalai geothermal system can be constructed. Futhermore, drilling targets zone can be identified from geothermal system which then followed by exploration drilling .Geothermal exploration drilling is carried out to verify the existence of geothermal resources and test the geothermal systems which previously has been made. Drilling target criteria is the area which consist of high temperature and permeability. During geothermal drilling, it is expected that high temperature zone shall be encountered. It will be followed by loss circulation zone which indicates that fractures have already been penetrated and confirm that feed zone has been discovered.In order to test constructed model, correlation between drilling data and 3D MT inverse is carried out, particularly values of resistivity layer with temperature data, alteration mineralcomposition, and geochemical data derived from drilling.Parameter correlation will explain geothermal system characteristics in study area which delineates prospect zones and its association with high temperature and permeability. The evaluation results of this study will reconstruction geothermal system the investigation area, which can be used to develop a recommendation of subsequent drilling and further development direction]"

"Dalam beberapa tahun terakhir, pembahasan mengenai inversi 3-dimensi (3-D) untuk pemodelan data magnetotelurik menjadi pembahasan yang menarik untuk dibahas oleh para ilmuwan geofisika. Hal ini disebabkan hasil pengolahan data lapangan yang dikorelasikan dengan data geologi dan geokimia masih terdapat ambiguitas dalam interpretasi hasil inversi 2-dimensi (2-D) dibandingkan hasil pemodelan dengan inversi 3-D. Salah satu faktor penyebabnya adalah bumi yang memiliki model tiga dimensi, maka model 2-D terkadang kurang bisa digunakan untuk menjelaskan kondisi bumi yang kompleks secara 3-D. Untuk mempermudah pemahaman lebih lanjut mengenai hal tersebut, dilakukan pembuatan model sintetik 3-D dengan menggunakan software WinGlink dan MT3DFor-X. Model sintetik 3-D dibentuk dari model yang sederhana untuk melihat pengaruh efek anomali 3-D bawah permukaan, sampai dengan model yang kompleks yaitu sistem geotermal. Model sintetik yang dibuat kemudian diinversi 2-D dan 3-D dan dibandingkan hasilnya. Pemodelan dengan inversi 2-D dan 3-D secara berturut-turut dilakukan dengan menggunakan software WinGlink dan MT3DInv-X. Hasil dari kedua inversi tersebut kemudian diinterpretasi yang selanjutnya dapat digunakan sebagai acuan dalam pemilihan inversi yang digunakan dalam pengolahan data magnetotellurik ataupun sebagai bahan pertimbangan saat pengambilan data magnetotelurik di lapangan. Selain itu, variasi ukuran grid terhadap pemodelan 3-D dibahas juga pada penelitian ini, sehingga nantinya dapat digunakan juga sebagai acuan dalam pemodelan data 3-D dengan menggunakan data lapangan.

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In few recent years, the discussion about 3-dimensional (3-D) inversion for magnetotelluric (MT) data modeling has become the interesting topic for geophysicists. It is caused by the the ambiguity of 2-D inversion result compared with 3-D inversion result of field data processing when it is correlated with geological and geochemistry data. One of the contributing factor is that the Earth is in 3-D shape, so the 2-D model often less describes the complex 3-D Earth model. For further understanding about this topic, a synthetic 3-D model was made using WinGLink and MT3Dfor-X software. 3-D synthetic model is formed from the simple one, to see the effect of the 3-D subsurface anomali towards both inversion results, to the complex one such as geothermal system. The synthetic model is then inversed in 2-D and 3-D approaches to compare the result. 2-D inversion model is conducted using WinGLink and 3-D inversion model is conducted using MT3Dinv-X. Both results can be used as reference of choosing which inversion process is used for modeling magnetotelluric data and can be used to consider the field survey design. Furthermore, the number of grid variation in 3-D modeling is also discussed in this work as the consideration of 3-D modeling of field data."

"Seperti hal nya lapangan geotermal yang sudah diekstraksi lebih dari 25 tahun, Salak juga mengalami penurunan produksi akibat cooling atau penurunan suhu pada reservoir. Analisis 3G, yaitu Geofisika, Geokimia, dan Geologi yang dilakukan seringkali tidak sesuai dengan data sumur, karena kesalahan mendasar dari interpretasi zona resistivitas rendah, barrier sesar atau marjin reservoir terutama pada reservoir di bawah sumur produksi dan injeksi lapangan Salak. Semua data yang dianalisis adalah data yang diperoleh pada waktu sumur awal diproduksi. Analisis penyebaran zona resisitivitas dengan metode seleksi dan re-prosessing yang tepat menjadi hal dasar dari penentuan batas area prospek dan zona uplow dan outflow. Sebaran dan kedalaman zona konduktif mendeskripsikan penyebaran mineral alterasi, kontak litologi, barrier patahan, batas TOR dan BOC (updome shape), perubahan suhu karena perbedaan kontras dari jalur permeabilitas dan arah aliran fluida. Pola ketebalan resistivitas yang relatif sama di atas reservoir atau batas low resistivity anomaly mungkin menghasilkan kesalahan interpretasi dari noise yang perlu dikoreksi. Penelitian ini diharapkan dapat memberikan informasi model konseptual yang lebih konsisten, representatif dan terintegrasi serta menunjukkan kesesuaian dengan data pendukung lainnya, sehingga dapat mengidentifikasi masalah yang dihadapi, dan selanjutnya memberikan hipotesis untuk menjaga keberlangsungan performa reservoir.

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Like most geothermal field which has been extracted for more than 25 years, Salak has been also experienced the production decline, which is quite likely caused by change of well pressure and cooling in reservoir. The existing 3G analysis was frequently contradicted with well data, especially caused by misinterpretation of noisy and low deep resistivity. Furthermore, all corrected 3D inversion MT data is compared with well data, geology , and geochemical data, to produce updated and integrated conceptual model, which can be expexted to re-evaluate analysis of changes in the distribution of resistive zones at initial reservoir conditions that give indication of distribution of alteration minerals, TOR and BOC (updome shape) boundary, lithology contacts, variation of pressure and temperature, and give identification of permeability zone contrasting and fluid pathway, fault orientation corresponds to good aggrement of interpetation of low resistivity zone and well data. The powerfull and developed 3D MT Inversion and observation of anomalous resistivity feature interpreted as clay alteration, fault barrier, upflow and or the expansion of neutral spring water in ouflow zone near Awi 20 and 15. This anomaly is strongly correlated to the temperature changes in hydrothermal mineral. This variation shows the deep and shallow up-dome shaped of geothermal system below Awi 9, 10 and 14, confirmed by Parabakti and Cibeureum fumarol analysis, thin clay cap, fault intersection map and especially high temperature in well data. To test this hypothesis, writer recast all supporting data with revised resistivity model. This research is expected to provide information on a representative conceptual model and accurate analysis to the current problems respectively, hence improved approachs can be taken to implement further recommendation on how to hypothesize a strategic solution to maintain reservoir performance. "

"Untuk menentukan zona prospek diperlukan beberapa kriteria yaitu struktur yang berasosiasi dengan permeabilitas tinggi, temperatur tinggi dan zona upflow. Berdasarkan peta lineament density serta metode FFD menunjukkan zona yang memiliki densitas tinggi berasosiasi dengan zona depresi yang merupakan struktur utama pada lapangan panasbumi ldquo;Q rdquo; dan munculnya beberapa manifestasi berupa fumarol, dan mata air panas APWO, APWK, APLM dan APBK. Dari diagram ternary Cl - SO4 - HCO3 menunjukkan APWO memiliki tipe steam heated water, APWK memiliki tipe bicarbonate water sedangkan APBK dan APLM memiliki tipe chloride water. Berdasarkan tipe fluida tersebut maka dapat diklasifikasikan bahwa lapangan panasbumi ldquo;Q rdquo; merupakan sistem hidrotermal. Penentuan estimasi temperatur reservoir menggunakan geothermometer silika dan geothermometer gas yang masing - masing berkisar antara 141 C - 212 C dan 250 C. Sehingga manifestasi APWO, FWO-1 dan FWO-2 menunjukkan berada pada zona upflow dan APWK, APBK, APLM berada pada zona outflow. Hasil dari inversi 3D MT memperlihatkan sebaran resistivitas rendah < 10 ohm-m memiliki ketebalan 1000 m sampai 1500 m yang diduga sebagai clay cap, sebaran zona resistivitas tinggi > 100 ohm-m terlihat berbentuk updome pada kedalaman -500 sampai -4000 m yang diduga sebagai heat source. Dari hasil proses upward continuation dan reduce to pole, nilai magnetik yang berkisar -250 nT sampai -350 nT berada di bawah manifestasi FWO-01, FWO-02, APWO dan daerah dimana alterasi tersingkap. Sehingga dapat disimpulkan bahwa area yang memiliki densitas tinggi berkorelasi dengan sebaran resistivitas yang bernilai 10 ohm-m dan daerah yang memiliki nilai anomali magnetik rendah -250 nT sampai -200 nT dimana mengindikasikan zona reservoir berasosiasi dengan batas bawah clay cap atau BOC.

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To determine the prospek area in geothermal field, must have the structure associated with high permeability, high temperature and upflow zone. Based on the map of lineament density and the FFD method shows a high density zone associated with the depression zone which is the main structure of the filed Q and the emergence of several manifestations of fumaroles and hot springs APWO, APWK, APLM and APBK. From the ternary diagram Cl SO4 HCO3 shows that APWO has steam heated water type, APWK has bicarbonate water type while APBK and APLM are chloride water type. Based on the obtained geochemical manifestations the geothermal system is a hydrothermal system. Prediction of reservoir temperature using silica geothermometer and gas geothermometer each ranging between 141 C 212 C and 250 C. So the manifestations of APWO, FWO 1 and FWO 2 indicate that they are in the upflow zone and APWK, APBK, APLM are in outflow zone.

The result of 3D MT inversion shows low resistivity 100 ohm m appears to be an updome at depths of 500 to 4000 m suspected as heat source. From the upward continuation and reduce to pole results, magnetic values ranging from 250 nT to 350 nT are under the manifestations of FWO 01, FWO 02, APWO and the areas where alteration is exposed. It can be concluded that areas with high densities are correlated with 10 ohm m resistivity distributions and regions having low magnetic anomaly values 250 nT to 200 nT which indicate the reservoir zone associated with the lower limit of clay cap or BOC."

"Daerah Gunung Pancar merupakan daerah prospek geotermal yang didominasi oleh batuan sedimen, batuan beku berumur kuartener dan intrusi andesit. Sistem geotermal pada daerah ini ditandai dengan keberadaan manifestasi outflow berupa hotsprings yang memiliki temperatur berkisar 45-66°C. Dari data geokimia yang ada, reservoir pada daerah ini diperkirakan memiliki temperatur sekitar 180-215°C sehingga diklasifikasikan sebagai sistem geotermal dengan suhu yang rendah hingga menengah. Penelitan ini menggunakan metode magnetik untuk mengidentifikasi batuan yang mengalami demagnetisasi akibat terjadi proses alterasi hidrotermal yang diasosiasikan dengan batuan reservoir pada sistem geotermal.Dari data magnetik, dilakukan koreksi data dengan koreksi IGRF dan koreksi diurnal untuk menhasilkan peta kontur anomali magnetik total yang bersifat dipol. Proses reduction to pole (RTP) dan upward continuation dengan ketinggian sebesar 50 m, 100 m, dan 250 m untuk melihat nilai anomali rendah akibat demagnetisasi. Pemodelan secara forward 2 dimensi menunjukkan reservoir memiliki suseptibilitas yang rendah dengan nilai 0.000013 cgs pada kedalaman 500-1400 m di bawah permukaan laut. Kemudian, pemodelan secara inversi 3 dimensi menunjukan nilai suseptibilitas sekitar -0.003 hingga 0.035 cgs sebagai reservoir yang berada pada kedalaman 500-1300 m di bawah permukaan laut. Hasil pemodelan forward 2 dimensi dan inversi 3 dimensi dikorelasikan dengan model inversi 3 dimensi data AMT dan forward 2 dimensi data gravity. Dari hasil interpretasi terpadu, reservoir terletak di sekitar zona outflow pada kedalaman 500-1300 m di bawah permukaan laut.

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The Gunung Pancar area is a geothermal prospect area dominated by sedimentary rocks, quaternary igneous rocks and andesite intrusion. The geothermal system in this area is characterized by the presence of outflow manifestations in the form of hotsprings which have temperatures ranging from 45-66 °C. From existing geochemical data, the reservoir in this area is estimated to have a temperature of around 180-215 °C so that it is classified as a geothermal system with low to medium temperatures. This research uses magnetic methods to identify rocks that have demagnetized due to hydrothermal alteration processes associated with reservoir rocks in geothermal systems. From magnetic data, data correction is done with IGRF correction and diurnal correction to produce a dipole total magnetic anomaly contour map. Reduction to pole (RTP) and upward continuation processes with a height of 50 m, 100 m, and 250 m to see the low anomaly values ​​due to demagnetization. 2-dimensional forward modeling shows the reservoir has a low susceptibility with a value of 0.000013 cgs at a depth of 500-1400 m below sea level. Then, 3-dimensional inversion modeling shows the susceptibility value around -0.003 to 0.035 cgs as a reservoir at a depth of 500-1300 m below sea level. The results of 2-dimensional forward modeling and 3-dimensional inversion are correlated with the 3-dimensional inversion model of AMT data and forward 2 dimensional gravity data. From the results of integrated interpretation, the reservoir is located around the outflow zone at a depth of 500-1300 m below sea level."

"Lapangan geotermal X berada di area gunung A yangmana berdasarkan data geologi ditemukan adanya manifestasi berupa hot spring dan fumarole. Pengukuran MT dilakukan untuk mengetahui persebaran resistivity batuan di bawah permukaan. Pengolahan data MT dilakukan dari analisis time series dan filtering noise kemudian dilakukan Transformasi Fourier dan Robust Processing. Setelah itu baru dilakukan crosspower untuk menyeleksi data sehingga output dari proses ini berupa kurva MT. Setelah didapatkan kurva MT dilakukan koreksi statik dikarenakan kurva TE dan TM terjadi shifting. Untuk proses akhirnya baru dilakukan inversi 2D dan inversi 3D. setelah itu dilakukan perbandingan antara 2D dan 3D. Wilayah interest lapangan X berada di lintasan AA dan lintasan AB. Berdasarkan analisis 3D diidentifikasi bahwa zona alterasi menipis di wilayah upflow dan menebal ke arah outflow yangmana sesuai dengan teori. Wilayah upflow dapat diketahui dengan melihat manifestasi berupa fumarole.

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The geothermal field X is located in the area of Mount A which based on geological data found the presence of hot spring and fumarole manifestations. MT measurements were carried out to determine the distribution of rock resistivity in the subsurface. MT data processing is starts from time series analysis and noise filtering then Fourier Transform and Robust Processing are performed. After that, crosspower is done to select data so that the output of this process is an MT curve. After got the MT curve then a static correction is done because the TE and TM curves are shifting. For the final process are 2D inversion and 3D inversion. After that make a comparison between 2D and 3D. The area of interest in field X is on the line AA and line AB. Based on the 3D analysis, it was identified that alteration zones thinned in the upflow region and thickened towards the outflow which is make sense with the theory."

"Telah dilakukan penelitian guna delineasi zona prospek sistem panasbumi daerah ldquo;Z rdquo; menggunakan permodelan tiga Dimensi magnrtotellurik didukung data terpadu berupa geologi dan geokimia serta terintegrasi data gravitasi. Daerah panasbumi ldquo;Z rdquo; dalam tatanan tektoniknya termasuk pada jalur backarc Sumatera, tepat pada salah satu segmen sesar Sumatera bagian selatan, disusun oleh batuan vulkanik dan sedimen klastik yang berumur Tersier hingga Kuarter Andesit-Basalt . Gejala adanya sistem panasbumi pada daerah penelitian ditandai dengan kemunculan manifestasi permukaan berupa alterasi dan lima mata air panas bersuhu 44,4 - 92,5 oC, pH 8,19 - 9,43 dan bertipe bikarbonat, sulfat-bikarbonat, serta sulfat-klorida. Pembentukan sistem panasbumi dipengaruhi oleh aktivitas tektonik menyerong oblique antara lempeng Samudera India dan Lempeng Kontinen Eurasia searah dengan pola sesar Sumatera. Berdasarkan analisis air panasbumi temperatur reservoir diambil melalui perhitungan geothermomether SiO2 Fournier 1977 , Na-K Giggenbach 1988 , Na-K-Ca, diagram Na-K-Mg serta diagram Enthalphy - Cloride Mixing Model berkisar 145 - 155oC, termasuk dalam sistem panas bumi bertemperatur sedang. Berdasarkan inversi tiga dimensi data MT didapatkan kedalaman Top of Reservoar TOR sistem panasbumi daerah ldquo;Z rdquo; sekitar 400 m elevasi 50 mdpl sedangkan berdasarkan forward modeling data gravitasi lintasan 2 dimensi diperkirakan sumber panas berupa cooling instrusion diperkirakan batuan gabro ; resistivitas ge; 450 ?m ; densitas 2,95 - 3,15 gr/cc dan reservoar berupa batupasir resistivitas 50 - 250 ?m ; densitas 2,60 gr/cc . Sistem panasbumi daerah penelitian termasuk jenis tektonik fracture zone dengan temperatur sedang dengan luas daerah prospek sekitar 7,5 km2.

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A study for delineating geothermal system of prospect area ldquo Z rdquo has been done by using tree dimension modeling of magnetotelluric supported unified data just like geological and goechemical and integrated gravity data. Geothermal area ldquo Z rdquo in tectonic setting included in Sumatra volcanic backarc, right on one of the southern part of Sumatra fault segment. Compodes by volcanic and clastic sendimentary rock are Tertiary to Quarternary Andesite Basalt. The existance of goethermal system in this area is indicated by the presence of thermal manifestation in form of alteration and five hot springs temperature in the ranges 44.4 ndash 92.5 oC, and pH 8.19 ndash 9.43 and type of fluida are bicarbonate, sulphate bicarbonate, and sulfate chloride. The development of geothermal system is affected by tectonic oblique between the Indian Ocean plate and the Eurasian Contenent Plate direction of the Sumatra fault patterns.

Based on the analysis of geothermal water reservoir temperature are taken through the calculation geothermometer SiO2 Fournier 1977, Na K Giggenbach 1988 , Na K Ca, Na K Mg diagram and Enthalpi Mixing Cloride Model range 145 ndash 155 oC, classified as intermediate temperature. Base on a three dimensional inversion of the magnetotelluric data obtained depth Top of Reservoir TOR geothermal system area ldquo Z rdquo about 400 m elevation 50 meters above sea leavel , while based on the two dimensional of the gravity data predicted heat sources such as cooling instrusion estimated gabbro density 2,95 ndash 3,15 gr cc and reservoar such as sandstone resistivity 50 ndash 250 m density 2,60 gr cc . The Geothermal systems of research area classified as the type of intermediate temperature tectonic fracture zone with prospect area about 7,5 km2."

"Lapangan Geotermal Salak merupakan lapangan geotermal terbesar di Indonesia dengan kapasitas terpasang sebesar 377 MW. Dari awal beroperasinya pada Februari 1994 sampai dengan Desember 2014 lapangan ini telah memproduksi 421.759.106,78 Ton uap. Dengan produksi sebesar itu, diperlukan manajemen reservoar yang baik untuk menjaga keberlangsungan produksi jangka panjang. Manajemen reservoar sangat penting dalam upaya mengatasi masalah yang terjadi akibat kegiatan produksi dan reinjeksi, oleh karena itu strategi reinjeksi sebaiknya memperhatikan karakteristik reservoar lapangan geotermal. Penelitian ini menggunakan metode geofisika yaitu 3D MT, Microearthquake dan Microgravity dengan dukungan data sumur dan data produksi serta reinjeksi untuk memprediksi kondisi reservoar sebagai upaya mengantisipasi terjadinya penurunan tekanan reservoar yang berpotensi menurunkan produktifitas sumur produksi. Hasil penelitian ini menyimpulkan bahwa strategi reinjeksi di Awi 9 memegang peranan penting sebagai heat and pressure support di sumur ? sumur produksi. Namun, terdapat indikasi kompaksi pada reservoar sejalan dengan peningkatan kapasitas produksi, hal ini diperkuat dengan terjadinya penurunan permukaan tanah dan peningkatan kejadian gempa mikro pada daerah resevoar dangkal, terjadi penurunan medan gravitasi pada reservoar produksi yang diidentifikasi berhubungan dengan penurunan tekanan reservoar. Hasil ini digunakan sebagai dasar usulan untuk mempertahankan eksistensi sumur - sumur reinjeksi di Awi 9 dan penempatan sumur reinjeksi brine di zona reservoar produksi.

---

Salak Geothermal Field is the biggest geothermal field in Indonesia with 377 MW installed capacity. From its commersial operation in February to December 2015, this field has produced 421.759.106,78 Tonnes steam. With these huge production, good reservoir management are necessary to sustain long term production. Reservoir management becomes very important to overcome the problems caused by production and reinjection. Therefore, reinjection strategy should be implemented by considering reservoar characteristic in geothermal field.

This study are using geophysical methods, there are : 3D MT, Microearthquake and Microgravity combined to geological well data support, production and reinjection data to predict reservoir condition as an attempt to anticipate decreasing of reservoir pressure which potentially reduce production.

This study conclude that reinjection strategy in Awi 9 took important part as heat and pressure support to production wells. However, there are some indication of creep compaction in reservoir in line with production capacity escalation, this was supported by land subsidence and increasing of microearthquake event in the shallow part of reservoir, decreasing of gravitational field in production reservoir associated with reservoir pressure drops, this results are used as the basis for the proposals to maintain the existance of reinjection wells in Awi 9 and brine reinjection wells placement in the production reservoir zone."