Use of a Mise-a-la-Masse Survey to Determine New Production Targets in Sibayak Field, Indonesia

Similar documents
NUMERICAL MODELING STUDY OF SIBAYAK GEOTHERMAL RESERVOIR, NORTH SUMATRA, INDONESIA

NOTICE CONCERNING COPYRIGHT RESTRICTIONS

Keywords: geophysics field camp, low to moderate, temperature, geothermal system, Mt Pancar, Indonesia

INTEGRATED GEOPHYSICAL STUDIES OF THE ULUBELU GEOTHERMAL FIELD, SOUTH SUMATERA, INDONESIA

Imaging Reservoir Structure of Mt. Pancar Geothermal Prospect Using Audio-Frequency Magnetotelluric (AMT) and Gravity Technology

3D MAGNETOTELLURIC SURVEY AT THE YANAIZU-NISHIYAMA GEOTHERMAL FIELD, NORTHERN JAPAN

Numerical Simulation of Devolution and Evolution of Steam-Water Two-Phase Zone in a Fractured Geothermal Reservoir at Ogiri, Japan

Numerical Simulation Study of the Mori Geothermal Field, Japan

The Initial-State Geochemistry as a Baseline for Geochemical Monitoring at Ulubelu Geothermal Field, Indonesia

Geothermal Model of the Lahendong Geothermal Field, Indonesia

RECHARGE ELEVATION OF HOT SPRING STUDY IN THE MT

Conceptual model for non-volcanic geothermal resources - examples from Tohoku Japan

Interpretation of Subsurface Geological Structure of Massepe Geothermal Area Using Resistivity Data

THREE DIMENSIONAL MODELING OF GEOELECTRICAL STRUCTURE BASED ON MT AND TDEM DATA IN MORI GEOTHERMAL FIELD, HOKKAIDO, JAPAN

Exploration of Geothermal High Enthalpy Resources using Magnetotellurics an Example from Chile

MODELING AND NUMERICAL ANALYSIS OF THE TWO-PHASE GEOTHERMAL RESERVOIR AT OGIRI, KYUSHU, JAPAN

GEOTHERMAL ENERGY POTENTIAL FOR LONGONOT PROSPECT, KENYA. By Mariita N. O. Kenya Electricity Generating Company

Practical Application of Directional Drilling at Takigami Geothermal Field

The Resistivity Structure of the Mahanagdong Geothermal Field, Leyte, Philippines. Carlos F. Los Baños and Felix C. Maneja

GEOTHERMAL POTENTIAL OF ST. KITTS AND NEVIS ISLANDS

BULLS-EYE! - SIMPLE RESISTIVITY IMAGING TO RELIABLY LOCATE THE GEOTHERMAL RESERVOIR

Gravity Interpretation of the RUW (Rendingan-Ulubelu-Waypanas) Geothermal System in Tanggamus Regency, Lampung, Indonesia

Geophysical Surveys of The Geothermal System of The Lakes District Rift, Ethiopia

SUBSURFACE HYDROTHERMAL ALTERATION AT THE ULUBELU GEOTHERMAL FIELD, LAMPUNG, SOUTHERN SUMATRA, INDONESIA. Suharno 1, 2 and PRL Browne 2

NOTICE CONCERNING COPYRIGHT RESTRICTIONS

Japan Engineering Consultants, Inc., Energy and Industrial Technology Development Organization,Tokyo, Japan

Resistivity structure of Sumikawa geothermal field, northeastern Japan, obtained from magnetotelluric data. Toshihiro Uchida

OVERVIEW OF THE WAIRAKEI-TAUHARA SUBSIDENCE INVESTIGATION PROGRAM

Heat (& Mass) Transfer. conceptual models of heat transfer. large scale controls on fluid movement. distribution of vapor-saturated conditions

HIGH TEMPERATURE HYDROTHERMAL ALTERATION IN ACTIVE GEOTHERMAL SYSTEMS A CASE STUDY OF OLKARIA DOMES

Three Dimensional Inversions of MT Resistivity Data to Image Geothermal Systems: Case Study, Korosi Geothermal Prospect

Geophysics for Geothermal Exploration

GeothermEx, Inc. GEOTHERMAL RESERVOIR ASSESSMENT METHODOLOGY FOR THE SCIENTIFIC OBSERVATION HOLE PROGRAM, KILAUEA EAST RIFT ZONE, HAWAII TASK 1 REPORT

INTERGRATED GEOPHYSICAL METHODS USED TO SITE HIGH PRODUCER GEOTHERMAL WELLS

Reservoir Monitoring in the Okuaizu Geothermal Field Using Multi-Geophysical Survey Techniques

Magneto-telluric (MT) surveys in a challenging environment at Lihir Island, PNG

Cubic Spline Regularization Applied to 1D Magnetotelluric Inverse Modeling in Geothermal Areas

WAMUNYU EDWARD MUREITHI I13/2358/2007

Integrated Geophysical Model for Suswa Geothermal Prospect using Resistivity, Seismics and Gravity Survey Data in Kenya

Iwan Yandika Sihotang, Tommy Hendriansyah, Nanang Dwi Ardi

GIS INTEGRATION METHIOD FOR GEOTHERMAL POWER PLANT SITEING IN SABALAN AREA, NW IRAN

ASSESSMENT OF GEOTHERMAL POTENTIAL AT UNGARAN VOLCANO, INDONESIA DEDUCED FROM NUMERICAL ANALYSIS

Characterization of Subsurface Permeability of the Olkaria East Geothermal Field

Geo-scientific Data Integration to Evaluate Geothermal Potential Using GIS (A Case for Korosi-Chepchuk Geothermal Prospects, Kenya)

Figure 1: Location of principal shallow conductors at Alpala (anomalies C0-C10; 5 Ohm/m surfaces, red) and shallow zones of electrical chargeability

Bog Hot Valley. (updated 2012)

INTERPRETATION OF INTERFERENCE EFFECTS IN THREE PRODUCTION WELLS IN THE KAWERAU GEOTHERMAL FIELD, NEW ZEALAND. Lynell Stevens and Kevin J Koorey

Overview of Microseismic in Sustainable Monitoring of Geothermal Reservoirs in Indonesia*

or

Comparison of 1-D, 2-D and 3-D Inversion Approaches of Interpreting Electromagnetic Data of Silali Geothermal Area

THE ZUNIL-II GEOTHERMAL FIELD, GUATEMALA, CENTRAL AMERICA

APPLICATION OF GEOPHYSICS TO GEOTHERMAL ENERGY EXPLORATION AND MONITORING OF ITS EXPLOITATION

. Slide 1. Geological Survey of Ethiopia, P.O.Box 2302, Addis Ababa, Ethiopia

Application of Transient Electromagnetics for the Investigation of a Geothermal Site in Tanzania

GEOPHYSICAL STUDY OF THE NORTHERN PART OF TE KOPIA GEOTHERMAL FIELD, TAUPO VOLCANIC ZONE, NEW ZEALAND

GEOTHERMAL POWER PLANT SITE SELECTION USING GIS IN SABALAN AREA, NW IRAN

The Role of Magnetotellurics in Geothermal Exploration

Hydrothermal Alteration of SMN-X,Sumani Geothermal Area, West Sumatra, Indonesia

NOTICE CONCERNING COPYRIGHT RESTRICTIONS

Mount Spurr geothermal workshop August 27 28, 2007

FLUID STRATIGRAPHY OF THE COSO GEOTHERMAL RESERVOIR

SUB-SURFACE GEOLOGY AND HYDROTHERMAL ALTERATION OF WELLS LA-9D AND LA-10D OF ALUTO LANGANO GEOTHERMAL FIELD, ETHIOPIA

Wind Mountain Project Summary Memo Feeder Program

THREE DIMENSIONAL INVERSIONS OF MT RESISTIVITY DATA TO IMAGE GEOTHERMAL SYSTEMS: CASE STUDY, KOROSI GEOTHERMAL PROSPECT.

OVERVIEW OF GEOTHERMAL RESOURCE EVALUATION OF BANG LE THUY- QUANG BINH

STRUCTURAL CONTROL OF RUNGWE VOLCANIC PROVINCE AND ITS IMPLICATION ON GEOTHERMAL SYSTEM

TEMPERATURE GEOTHERMAL SYSTEM *.BY. Roger F. Harrison Salt Lake City, Utah. C; K. Blair

A Preliminary Geophysical Reconnaissance Mapping of Emirau Ground Water Resource, Emirau Island, New Ireland Province, PNG

Determination of Calcite Scaling Potential in OW-903 and OW-914 of the Olkaria Domes field, Kenya

TORFAJÖKULL, ICELAND A RHYOLITE VOLCANO AND ITS GEOTHERMAL RESOURCE

GEOTHERMAL RESOURCE CONCEPTUAL MODELS USING SURFACE EXPLORATION DATA

Update of the Geologic Model at the Las Pailas Geothermal Field to the East of Unit 1

Geothermometer, Geoindicator and Isotope Monitoring in Lahendong Wells during

GEOTHERMAL DEVELOPMENT IN THE COMOROS AND RESULTS OF GEOTHERMAL SURFACE EXPLORATION

Electrical prospecting involves detection of surface effects produced by electrical current flow in the ground.

TWO DIFFERENT ROLES OF FRACTURES IN GEOTHERMAL DEVELOPMENT

A Poisson s Ratio Distribution From Wadati Diagram as Indicator of Fracturing of Lahendong Geothermal Field, North Sulawesi, Indonesia

MAGNETOTELLURIC INTERPRETATION OF THE KARAHA BODAS GEOTHERMAL FIELD INDONESIA

POTASH DRAGON CHILE GEOPHYSICAL SURVEY TRANSIENT ELECTROMAGNETIC (TEM) METHOD. LLAMARA and SOLIDA PROJECTS SALAR DE LLAMARA, IQUIQUE, REGION I, CHILE

GEOTHERMAL STRUCTURE AND FEATURE OF SULFIDE MINERALS OF THE MATALOKO GEOTHERMAL FIELD, FLORES ISLAND, INDONESIA

Topic 7: Geophysical and Remote Sensing Models. Presenter: Greg Ussher Organisation:SKM

HEAT AND MASS TRANSFER PROCESSES AFTER 1995 PHREATIC ERUPTION OF KUJU VOLCANO, CENTRAL KYUSHU, JAPAN

DIRECTIONAL WELLS AT THE PAILAS GEOTHERMAL FIELD, SUPPORTING GEOLOGICAL AND STRUCTURAL DATA FOR THE GEOTHERMAL MODEL

NOTICE CONCERNING COPYRIGHT RESTRICTIONS

Thermal Modeling of the Mountain Home Geothermal Area

Key Words: geothermal, exploration, extraordinary low water level, pressure imbalance, hidden vapor dominated reservoir ABSTRACT

3. GEOLOGY. 3.1 Introduction. 3.2 Results and Discussion Regional Geology Surficial Geology Mine Study Area

3D Visualization of Geothermal Features

Overview of geophysical methods used in geophysical exploration

Magnetic and Gravity Methods for Geothermal Exploration

Geological Evaluation of the Waringin Formation as the host of a Vapor-Dominated Geothermal Reservoir at the Wayang Windu Geothermal Field

Applicability of GEOFRAC to model a geothermal reservoir: a case study

GEOPHYSICAL CONCEPTUAL MODEL OF THE SAN VICENTE GEOTHERMAL AREA, EL SALVADOR

Heat Loss Assessment of Selected Kenyan Geothermal Prospects

Hybrid Gravimetry for Optimization Time Lapse Monitoring Data: A case study in Kamojang Geothermal Field

Geothermal Reservoir Characterization by SP Monitoring

Summary of geothermal setting in Geo-Caraïbes target islands

Structural Geology tectonics, volcanology and geothermal activity. Kristján Saemundsson ÍSOR Iceland GeoSurvey

Annað veldi ehf. Geothermal Provinces of Kenya

THREE DIMENSIONAL NUMERICAL MODELING OF MINDANAO GEOTHERMAL PRODUCTION FIELD, PHILIPPINES

Transcription:

Proceedings World Geothermal Congress 2005 Antalya, Turkey, 24-29 April 2005 Use of a ise-a-la-asse Survey to Determine New Production Targets in Sibayak Field, Indonesia Suparno Supriyanto 1, Yunus Daud 2, Sayogi Sudarman 3 and Keisuke Ushijima 1 1 Exploration Geophysics aboratory, Department of Earth Resources Engineering, Graduate School of Engineering, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, JAPAN 2 Research Center for Geothermal and Environmental Geosciences, Department of Physics, Faculty of athematics and Natural Sciences, University of Indonesia, Kampus Depok 16424, INDONESIA 3 Geothermal Division, Pertamina, Jl. edan erdeka Selatan No.1 A, Jakarta 10110, INDONESIA Email: supri@mine.kyushu-u.ac.jp Keywords: mise-a-la-mase, interpretation, Sibayak field. ABSTRACT Sibayak geothermal field is located about 65 km to the southwest of edan in the North Sumatra Province, Indonesia. Recently, a small-scale geothermal power plant (2 We) has been installed in this area. Since electricity demand increases in the North Sumatra Province, Pertamina (Geothermal Division) plans to increase the capacity to 20 We in the year 2005. Accordingly, detailed knowledge of the reservoir structure and its extension must be determined. The mise-a-la-masse (A) surveys were carried out in this field using the exploration well and the production well to delineate a new production target for further field development. Interpretation of the A data was done to correlate the results with formation temperatures and lost circulation zones and finally to image a promising reservoir zone. This interpretation result of A data indicates that reservoir zones trends to the north-northeast direction of the study area and shows a good correlation with formation temperature and lost circulation zone. This fact leads us to propose that the best production target for the development of the Sibayak area is characterized by the high temperature, high permeability and high well productivity region marked by the dome- shaped resistivity zone below the conductive cap rocks. 1. INTRODUCTION There are more than thirty geothermal prospect area widely spreading in Sumatra island, Indonesia. The Sibayak geothermal field (Figure 1) is the first geothermal field developed in Sumatra island under different stages of exploration. The exploration results confirmed that the Sibayak field has potential for further development which the proven capacity is 40 We (Sudarman et al, 2000). In 1995, Pertamina installed a small-scale geothermal power plant 2.0 We in this area. In addition, through July 1999, 10 exploration and production wells have been drilled. Since electricity demand is increasing in the North Sumatra Province, Pertamina will expand the installed capacity to 20 We in the year 2005. For this purpose, a new production target in this area required to be delineated. The main criteria of the production target are productivity, temperature and permeability. To investigate the best production target, the reservoir structure and possible extension, the Sibayak field has been intensively studied by enhancing interpretation technique of the mise-a-la-masse (A) data combined with formation temperature and permeability distribution zone. The results are integrated with the production test data in order to develop the most 1 productive zone of the field. This paper emphasizes the main results of the A data interpretation by using residual resistivity distribution map and 3-D inversion analysis objected to the understanding of production zones based on the lateral and vertical resistivity distribution. Figure 1: ocation map of Sibayak geothermal field. 2. FIED OVERVIEW The Sibayak geothermal field including ten-well locations is shown in Figure 5. The field is situated in a high terrain area inside the Singkut caldera. The thermal features consist of solfataras and fumaroles at high elevations around the summit of, and chloride springs with silica sinter at lower elevations in the southern and southeastern of around the Singkut caldera rim. There has been a complex volcanic history in the area with a number of centers of eruptions developing over a considerable period of time within Quarternary. In the area of the Singkut caldera, the Quarternary volcanic rock formation is divided into pre and post caldera units. The former includes Singkut dacite-andesite and Singkut laharic breccia, and the latter includes Simpulanangin pyroxene andesite, Pratektekan hornblende andesite Pintau pyroxene andesite and Sibayak hornblende andesite. The volcanic rock formation is composed of andesite, andesite breccia, and tuff breccia. Relatively moderate clay and chloritic hydrothermal alteration are found within this formation. The geological structure in the Sibayak area is mainly controlled by volcanic and tectonic processes. The caldera structure is elongated to NW-SE (F1 to F4), and it was

developed after the t. Singkut volcanic eruption (0.1 a). Some fault structures within the caldera are oriented to NW-SE, which is parallel to Great Sumatera Fault, and extend to the center of and t. Pintau, where they are intersected by the NE-SW fault structures (F5). The NW-SE fault structures are also intersected by the NE-SW lineament (F6) encountered between t Sibayak and t Pratektekan. surveyed area. The distant current C2 is placed at supposedly infinite distance away from the charged current electrode C1. The fixed potential electrode P2 is placed at few kilometers away from the charged well C1 in opposite direction to C2 in order to minimize electromagnetic coupling effects during field survey. Finally, the potential P1 is placed around the well. The locations of fracture zones were identified by the occurrence of lost circulation zones encountered during drilling completion. High lost circulation zones were found in all of existing wells at variable of s, whereas feed zones were also recognized from the temperature and pressure data. They occur in the north and northeast part of the study area as well as in the southern part outside the singkut caldera rim. The formation temperatures in the Sibayak geothermal field were measured in the existing wells during well-completion tests. The formation temperature distribution at 300 m is shown in Figure 6. The distribution of high temperatures (more than 250 o C) occurs to the north beneath and to the northeast beneath. The highest temperature zone (about 280 o C) was observed beneath the eastern flank of near the largest fumaroles in the area. The permeability distribution map reported by Daud et.al., (2001) in Figure 7 shows that the high permeability area (Kh = 2-4 D.m) is located in the area between and where many geothermal manifestation found. eanwhile, the low permeability (Kh = 0.5 D.m) is widely distributed near the Singkut caldera rim. The production well data of the Sibayak geothermal field as well as the formation temperature data are summarized in the Table 1. The most productive well is SBY-5, whose total production 57 ton/hr steam, which is equivalent to 6 We. Resistivity structures were obtained by two-dimensional (2-D) inversion of T data (Daud et al., 2000). The resistivity model is characterized by a dome-shaped resistivity (50-200 Ωm) below the strongly altered rock (resistivity of less than 10 Ωm), interpreted as the deep-silicic-prophylitic alteration (reservoir zone). 3. ETHOD Recently, the A method has been used in geothermal exploration to map the extent of conductive anomaly zones. The basic idea is to place an electrode inside the geothermal subsurface area and then measure the electric potentials at the surface when current is applied to the electrode. In a geothermal system, hydrothermal fluid flows through high permeability formation such as faults and fractures as well as in horizontal contact between two formations. oreover, it is observed that hydrothermal fluid has a quite high conductivity, then the faults and fractures itself can be considered as a subsurface conductor (Tagomory et al., 1984). Accordingly, the high permeability zone may have a high conductivity or low resistivity. In the A survey, electric current flows easily through a high conductivity medium. As a result, the high permeability zone might be reflected by more conductive anomalous zone recorded by the A measurements. Figure 2 shows the electrode arrangement of the A method applied in the geothermal field. The charged current electrode C1 is connected to the anchor well casing to several kilometers as a line-current-source in a Figure 2: Electrodes arrangement in the A survey. The potential V of line-source electrode has been introduced by Kauahikaua et al, (1980). The formula can be derived by process of integration starting from the potential of a point electrode: 2 2 ρ + + r V = ai λ λ.ln (1) 2πλ r Where ρ a, I, λ, r are the apparent resistivity, the electric current, the length of the line electrode (well casing), and the horizontal distance, respectively. The horizontal distance is measured from the well (C1) at which the potential is measured (P1). The A data can be presented as apparent resistivity distribution, which reflects distribution of gross resistivity in the study area. In order to recognize the response of any subsurface anomalous body, the apparent resistivity value is subtracted by the theoretical resistivity value obtained by linear least square method to get the residual resistivity. According to Daud et al, (2001), the residual resistivity distribution can be laterally interpreted in a correlation with permeability in the study area. In order to understand the resistivity distribution vertically, Aono at al. (2003) has developed 3-D inversion program, for A data using line-source, derived from a non-linear least square method. In the method, unknown parameters can be obtained by a repeated calculation using arquardt equation: (A T A+µC T C) P A T g (2) where A is Jacobian matrix, µ is the damping factor, C is the smoothing factor, P is parameter adjustment vector and g is the residual vector. The following procedures have been used for inversion analysis of geophysical data: (1) forward calculation, (2) calculation of Jacobian matrix, (3) least squares method, (4) iterative numerical calculations, and (5) statistical evaluation of solutions. Since, in this procedures, a 2

large CPU time is necessary for calculating Jacobian matrixes especially in a 3-D inversion, Jacobian matrixes proposed by oke and Baker (1995) has been used for minimizing a processing time in the program. 4. FIED EASUREENT The A surveys were carried out using the exploratory well and the production well. Those wells were selected as a current electrode C1 because the well locations enabled maximum coverage of the field. The total of directional wells and are 1501 m (or 1495 m true vertical ) and 2181 m (or 1879 m true vertical ), respectively. The electrodes arrangement in field survey is shown in Figure 8. The distant earthed current electrode C2 is fixed at 4.5 km away from the charged well far from the surveyed area to minimize electromagnetic coupling effect. The fixed potential electrode P2 for the current electrode (C1) of charged well was placed to the northeastern part of the surveyed area about 2.5 km away from the well. While for the charged well, the fixed electrode P2 was located in the northwestern part of survey area 2.5 km away from the well. The potential distribution on the ground surface was measured through potential electrodes P1 and P2. The potential electrode P1 was moved in radial direction from the electrode C1 with 100 m separation. In the Sibayak geothermal field, A measurements were conducted along 14 survey lines (163) points around the well, whereas around the well the measurements were conducted along 12 survey lines (148 points) as shown in Figure 5. The survey line could not be made in the same length due to field conditions. The geoelectrical equipment used in this survey was a transmitter with 6 A square wave output, supported by 5 kva generator power supply, and receiver with reading ability up to 0.01 mv. The potential electrode P1 and P2 were immersed with saturated copper sulfate solution in the porous pots, in order to eliminate the polarization effects during measurement. 5. RESUT The subsurface resistivity distribution is not homogeneous. It changes laterally and vertically caused by local resistivity structures. Two resistivity inversion techniques were applied in order to get the real resistivity. Based on 2-D inversion of T data (Daud et al., 2001), the resistivity structures model is characterized by a dome-shaped resistivity (50-200 Ωm) below the low resistivity zone (less than 10 Ωm). Therefore, the residual resistivity values are calculated by inversion A program using the two layer earth model rather than three-layer model in each of the well and. Figure 3 shows a map of compilation of residual resistivity distribution from the wells and ranging from -7 to 13 Ωm. By careful inspection to the map, it is obviously recognized that the negative residual resistivity anomaly zone (less than -2 Ωm) is mainly located inside the Singkut caldera, except in the southern part of the area. It could be laterally inferred that the main reservoir may exist at the northwest of the well or at the northeast of the well. oreover, the shape of the negative anomaly coincides with the faulting system. Therefore, the lost circulation zones around the wells and are probably reflected by the NW-SE trending faults. The fault structures also may control the high permeability in the 3 Supriyanto et al. Sibayak area. In addition, another anomaly of low residual resistivity is recognized at the southern part of the Sibayak area, and is interpreted as a permeable zone outside the Singkut caldera margin, which may have a connection to the main reservoir. Ohm-m -7-6 -5-4 -3-2 -1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Figure 3: Residual resistivity distribution of the Sibayak geothermal field derived from the A measurements. The 3-D inversion of the A data was conducted using a 3-D block model based on the non-linear least squares method. Figure 4 shows some contour resistivity maps variation respect to the as a result of the 3-D inversion program. In a shallow down to 250 m (Figure 4.A.), the strongly altered rock zones indicated by low resistivity (less than 10 Ωm) are widely distributed in the northern part of the well inside the Singkut caldera. By careful inspection to the map, it is obviously recognized that the low resistivity zone in the northern part of the well follows the NE-SW lineament (F6) encountered between t Sibayak and t Pratektekan. In the opposite site, a smaller zone of the low resistivity is also found in the southern part of the well separated by Singkut caldera rim. eanwhile, in the area around the well, another small low resistivity zone is found in the eastern part of the well. In the north of the well, there is a big area of the low resistivity zone, but because of no A stations in that area, it can not be interpreted by the method. In addition, the high resistivity zones (fresh volcanic rock) are mainly located outside the caldera in the southeast and the southwest direction of the Sibayak field. Figure 4.B shows a block of resistivity at interval between 500-750m. It is found that the anomaly low resistivity zone surrounding the well outside the caldera become increase as well as the anomaly in the eastern part of the well. This phenomenon can be inferred that the rock alteration zones have gradually removed to the north direction. oreover, the resistivity contour map in the Figure 3.C and the Figure 3.D has also strengthened the above conclusion. Therefore, it can be interpreted that the thickness of the rock alteration zone distributed in the eastern part of the well and the rock alteration outside the Singkut caldera may be less than 1 km. By comparing all figures in the Figure 4, it is recognized that the lowest resistivity anomaly zone which can be interpreted as a center of geothermal reservoir is located in the area of faulting systems between t.sibayak and t.pratektekan. This area has a good agreement with the permeability map reported by Daud et al, (2001) where the high permeability zone (Kh = 2-4 D.m) encountered by well SBY-5, SBY-6 and SBY-8, is located in the same area.

A B C D recognized in a higher resistivity than the bottom of the wells and. Therefore, its bottom well is located in lower permeability than others. This interpretation has good correlation with the permeability distribution map as shown in the Figure 7. oreover, the well has produced the smallest amount of steam (15 t/h). Finally, based on all above results, it can be inferred that a future promising geothermal reservoir is located in the subsurface area between and. eanwhile, all the maps in Figure 3 also show that the high resistivity zone (fresh volcanic rock) is still distributed in the southeast and the southwest of the Sibayak field where the permeability is low. 6. CONCUSION The resistivity structure in the Sibayak geothermal field has been achieved by inversion program derived from least-square method. It is concluded that the trend of low resistivity zone, in variation respect to the, extends to the area between and. The zone has good correlation to the permeability distribution obtained by integrating previous geophysical data. Therefore, this study proposes that the best future production target for the development of the Sibayak area characterized by the high temperature, high permeability and high well productivity region is located beneath of the area between and. 7. ACKNOWEDGEENTS The authors wish to express their gratitude to the anagement of Pertamina (Indonesia) for using the data and their permission to publish this paper. The first author gratefully acknowledges support from a postgraduate scholarship awarded by The onbukagakusho Scholarship, Japan. REFERENCES Sudarman, S., Suroto, Pudyastuti, K. and Aspiyo, S. (1999). Geothermal Development Progress in Indonesia Country Update 1995-2000. World Geothermal Conference, Japan, ay and June, 2000. Pages 455-460. Tagomori, K., Ushijima, K. Kinoshita, Y., (1984). Direct Detection of Geothermal Reservoir at Hatchobaru Geothermal Field by The ise-a-a-asse easurement. Geothermal Resources Council, Transactions, vol. 8. Pages 65-68. Kauahikaua, J., attice,., and Jackson, D.,(1980). ise-a-la-masse mapping of the HGP-A geothermal reservoir, Hawaii. Geothermal Resources Council, Transactions, vol 4. Pages 513-516. Daud, Y., Sudarman, S., Ushijima, K., (2001). Imaging Reservoir Permeability of The Sibayak Geothermal Field, Indonesia Using Geophysical easurements. Proceedings 21 st Workshop on Geothermal Reservoir Engineering, Stanford, California. Pages 127-133. Ohm-m 0 2.5 5 10 15 20 30 45 80 130 180 260 360 Figure 4: Depth sliced resistivity contour map derived from 3-D inversion of the A data. (A) 0-250m (B) 500-750m (C) 1000-1250m (D) 1500-1750m This result also reflects the faults structure (F1 to F4) which extends to the. oreover, as shown in Figure 6, this area also has a high formation temperature. On the other hand, the position of bottom well at 1527 m is Aono, T., izunaga, H., Ushijima, K., (2003). Imaging Fracture during Injection and Production Operations of Reservoirs by a 4-D Geoelectrical ethod. Proceedings of the 6 th SEGJ International Symposium. Tokyo. Pages 281-287 Daud, Y., ustopa, E.J., Sudarman, S., Ushijima, K. (2001). 2d Inversion of agneto-telluric Data in Sibayak Geothermal Field, Indonesia. Proceedings of the 105 th SEGJ Conference. Pages 230-233. 4

359 QpaP t. Pintau egend : tered outcrop 358 357 F5 F6 QhaP QhaS 0 B SBY-5 SBY-3 SBY-8 SBY-6 SBY-7 A C QpaS t. Simpulanangin QhaS QpaP QhaP QpaS QlbS QdaS F1 Sibayak Hornblende Andesite Pintau Pyroxene Andesite Pratektekan Hornblende Andesite Simpulanangin Pyroxene Andesite Singkut aharic Breccia Singkut Dacite-Andesite Normal Fault Caldera 356 QdaS F3 SBY-2 F2 QlbS F1 F4 t. Singkut Solfatara/Fumarole Hotspring Well Pad Well 355 444 445 446 447 448 449 0 m Scale 1000 m Figure 5: Geological map of Sibayak geothermal field. (Daud et al., 2001) 359 t. Pintau F6 deg. C Northing (km) 358 357 356 F5 Sby-5 Sby-10 Sby-4 F3 Sby-2 Sby-3 Sby-6 Sby-8 Sby-7 Sby-9 Sby-1 F2 F1 F4 280 270 260 250 240 230 220 210 200 190 180 170 160 150 140 130 120 110 100 90 t. Singkut 355 443 444 445 446 447 448 Easting (km) Figure 6: Distribution of the formation temperatures at the elevation of -300 m 5

359 High Permeability (H) Area = 2 km2; T > 280 deg C; Prod. = 30 ~ > 50 ton/hr; Kh = 2-4 D.m t. Pintau? No A Data? oderate Permeability () Area = 3 km2; T = 270 deg C; Prod. = 20-30 ton/hr; Kh ~ 1 D.m EGEND Resistivity Boundary Northing (km) 358 357 356 0 SBY-5 SBY-3 H H t. Singkut 355 443 444 445 446 447 448 SBY-2 SBY-8 ow Permeability (Area < 5 ow km2) Permeability () Area < 5 km2; T < 240 deg C; Prod. < 20 ton/hr; Kh = 0.5 D.m Easting (km) SBY-6 SBY-7 H High Permeability oderate Permeability ow Permeability ineament Fault Caldera Well Pad Fumarole Hot Spring High Production Well oderate Production Well ow Production Well Figure 7: Permeability map of the Sibayak geothermal field. Figure 8: Electrodes arrangement of A measurement in the Sibayak field. 6

Table 1. Production output of the wells in the Sibayak geothermal field. No Data Dimension SBY-2 SBY-3 SBY-5 1 Type Exploration Exploration Exploration Development Development 2 Elevation m (above sea level). 1384 1384 1468 1468 1384 3 Total m (vertical ) 1498 2116 1880 1880 1994 4 Temp. at total o C 243 104 272 274 284 5 ax. temp. in o C m (measured ) 243 1320 104 1650 272 1780 274 1610 302 2025 6 Production: steam t/h 18-26 23 57 7 Output We 2-3 3 6 No Data Dimension SBY-6 SBY-7 SBY-8 0 1 Type Development Development Development Development Development 2 Elevation m (above sea level). 1384 1384 1384 1337 1468 3 Total m (vertical ) 1750 2096 1935 1527 2164 4 Temp. at total o C 251 227 260 220 140 5 ax. temp. in o C m (measured ) 270 1475 266 1600 270 1800 236 1350 170 400 6 Production: steam t/h 33 23 36 15-7 Output We 4 3 4 2-7