In search of geothermal energy power potential in Tanzania: the role of geophysics

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

STATUS OF GEOTHERMAL ENERGY PROJECTS IN TANZANIA

Pioneering Geothermal Development in Tanzania Geothermal Exploration Drilling Activities

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

GEOTHERMAL EXPLORATION IN TANZANIA STATUS REPORT

GEOTHERMAL EXPLORATION IN TANZANIA STATUS REPORT

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

TECHNICAL REVIEW OF GEOTHERMAL POTENTIAL OF NGOZI AND SONGWE GEOTHERMAL PROSPECTS, TANZANIA.

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

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

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

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

INTERGRATED GEOPHYSICAL METHODS USED TO SITE HIGH PRODUCER GEOTHERMAL WELLS

CONTENTS 1. INTRODUCTION. 2. THE D.C. RESISTIVITY METHOD 2.1 Equipment 2.2 Survey Procedure 2.3 Data Reduction

Euler Deconvolution JAGST Vol. 15(1) 2013

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

Geothermal Exploration in Eritrea

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

INTEGRATED GEOPHYSICAL INVESTIGATION OF SEQUENCE OF DEPOSITION OF SEDIMENTARY STRATA IN ABAKALIKI, NIGERIA ABSTRACT

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

Geothermal Exploration in Eritrea

NOTICE CONCERNING COPYRIGHT RESTRICTIONS

Crispin Kinabo, Department of Geology, University of Dar es Salaam P.O. Box 35052, Dar es Salaam TANZANIA

Characterization of Subsurface Permeability of the Olkaria East Geothermal Field

Subsurface Characterization using Electrical Resistivity(Dipole-Dipole) method at Lagos State University (LASU) Foundation School, Badagry

2-D RESISTIVITY IMAGING SURVEY FOR WATER-SUPPLY TUBE WELLS IN A BASEMENT COMPLEX: A CASE STUDY OF OOU CAMPUS, AGO-IWOYE SW NIGERIA

12. The diagram below shows the collision of an oceanic plate and a continental plate.

Status of geothermal energy exploration at Buranga geothermal prospect, Western Uganda

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

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

Scholars Research Library. Geophysical investigation of effects of topographic complexities on groundwater potential in Ibusa, Delta State Nigeria

First Technical Report Geophysical experiments near Kajiado town

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

MICRO LEVEL GEO-RESISTIVITY SURVEY THROUGH V.E.S. TEST FOR GROUNDWATER FEASIBILITY STUDY AND SELECTION OF BORE WELL SITES IN PIPILI BLOCK OF PURI

Overview of geophysical methods used in geophysical exploration

GEOTHERMAL POTENTIAL OF ST. KITTS AND NEVIS ISLANDS

RESISTIVITY IMAGING IN EASTERN NEVADA USING THE AUDIOMAGNETOTELLURIC METHOD FOR HYDROGEOLOGIC FRAMEWORK STUDIES. Abstract.

Outcomes of the Workshop on the Geologic and Geothermal Development of the Western Branch of the Greater East African Rift System

Groundwater Sustainability at Wadi Al Bih Dam, Ras El Khaimah, United Arab Emirates (UAE) using Geophysical methods

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

The Preliminary Study of Meteorite Impact Crater at Bukit Bunuh, Lenggong

DELINEATION OF FRESH-BRACKISH WATER AND BRACKISH-SALINE WATER INTERFACES USING VES SOUNDINGS IN SHANI, BORNO STATE, NIGERIA

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

Groundwater Assessment in Apapa Coast-Line Area of Lagos Using Electrical Resistivity Method

PHYSICAL GEOGRAPHY: An overview. Definitions. Faulting. Folding GEOLOGIC PROCESSES 9/17/2013 TOPOGRAPHIC RELIEF

Geophysics Course Introduction to DC Resistivity

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

Northern Tanzanian Earthquakes: Fault orientations, and depth distribution

AN INTEGRATED GEOPHYSICAL INVESTIGATION OF A SPRING IN IBUJI, IGBARA-OKE, SOUTHWESTERN NIGERIA.

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

Ground Magnetic and Electrical Resistivity Mapping for Basement Structurs over Charnokitic Terrain in Ado-Ekiti Area, Southwestern Nigeria

Structural Controls on the Chemistry and Output of the Wells in the Olkaria Geothermal Field, Kenya

ASSESSMENT OF GROUNDWATER POTENTIAL IN ARUJO- RODI KOPANY AREA, HOMA BAY COUNTY, KENYA. NAME: AYETE DAVID OMAJILONG

From Punchbowl to Panum: Long Valley Volcanism and the Mono-Inyo Crater Chain

Continental Landscapes

A) B) C) D) 4. Which diagram below best represents the pattern of magnetic orientation in the seafloor on the west (left) side of the ocean ridge?

International Journal of Scientific & Engineering Research, Volume 7, Issue 3, March ISSN

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

Outcomes of the Workshop on the Geologic and Geothermal Development of the Western Branch of the Greater East African Rift System

Geologic Mapping Regional Tournament Trial Event

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

The Role of Magnetotellurics in Geothermal Exploration

FINAL REPORT GEOPHYSICAL INVESTIGATION VILLAGE ALHAMBRA RETENTION POND SITE THE VILLAGES, FLORIDA

TAKE HOME EXAM 8R - Geology

Analysis of electrical resistivity data for the determination of aquifer depth at Sapele RD in Benin city

LIST OF FIGURES APPENDICES

Visualizing Earth Science. Chapter Overview. Volcanoes and Eruption Types. By Z. Merali and B. F. Skinner. Chapter 9 Volcanism and Other

Scholars Research Library

Answers: Internal Processes and Structures (Isostasy)

Geophysical Investigation of Foundation Condition of A Site in Ikere- Ekiti, Ekiti State, South-Western Nigeria

Magnetic and Gravity Methods for Geothermal Exploration

The Efficacy of Enhancing Horizontal Resolution (EHR) Technique in Shallow Subsurface Study Using 2D Resistivity Method at Bukit Bunuh

Anomaly effects of arrays for 3d geoelectrical resistivity imaging using orthogonal or parallel 2d profiles

Western EARS Geothermal Geophysics Context Mar-2016 William Cumming

Earthquakes. Earthquakes are caused by a sudden release of energy

Name. 4. The diagram below shows a soil profile formed in an area of granite bedrock. Four different soil horizons, A, B, C, and D, are shown.

WAMUNYU EDWARD MUREITHI I13/2358/2007

Geothermal Potential Assessment in Northern Rwanda

Geothermal Potential of the Kenya Rift: energy estimates based on new data. Peter Omenda and Silas Simiyu KenGen

Morenikeji P. Anjorin, B.Tech. 1 and Martins O. Olorunfemi, Ph.D. 2*

Pacific Northwest Rock Lab, Part II. Igneous Rocks. Name Per.

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

Geologic Mapping Invitational Trial Event

Geothermal Systems: Geologic Origins of a Vast Energy Resource

Earth s Continents and Seafloors. GEOL100 Physical Geology Ray Rector - Instructor

GETAHUN Demissie Gemeda P. O. Box 7355, Addis Abeba, Ethiopia Tel. (251) ,

SPECTRAL ANALYSIS OF GROUND MAGNETIC DATA IN MAGADI AREA, SOUTHERN KENYA RIFT

Hydro-Geophysical Investigation of the Federal Housing Estate Akure, Southwestern Nigeria

CHAPTER 9 SUMMARY AND CONCLUSIONS

Plate Tectonics Tutoiral. Questions. Teacher: Mrs. Zimmerman. Plate Tectonics and Mountains Practice Test

Plates & Boundaries The earth's continents are constantly moving due to the motions of the tectonic plates.

PHYSICAL GEOLOGY AND THE ENVIRONMENT (2 ND CANADIAN EDITION)

CALIFORNIA CONTENT STANDARDS FOCUS ON EARTH SCIENCE, Grade 6. Correlated to AGS EARTH SCIENCE

MUHAMMAD S TAMANNAI, DOUGLAS WINSTONE, IAN DEIGHTON & PETER CONN, TGS Nopec Geological Products and Services, London, United Kingdom

Preliminary Microgravity Measurement Of Paka Geothermal Prospect

The Use of Vertical Electrical Sounding (VES) for Subsurface Geophysical Investigation around Bomo Area, Kaduna State, Nigeria

KARST MAPPING WITH GEOPHYSICS AT MYSTERY CAVE STATE PARK, MINNESOTA

Groundwater Exploration In Parts Of Mangu- Halle North-Central Nigeria.

Horizontal gradient and band-pass filter of aeromagnetic data image the subsurface structure; Example from Esh El Mellaha Area, Gulf of Suez, Egypt.

C5 Magnetic exploration methods data analysis techniques

Transcription:

In search of geothermal energy power potential in Tanzania: the role of geophysics L. J. Mnzava 1, A. W. Mayo 1 & J. H. Y. Katima 2 1 Department of Water Resources Engineering, 2 Department of Chemical and Process Engineering, University of Dar es Salaam, Dar es Salaam, Tanzania Abstract A feasibility study was done to evaluate the Southwestern Tanzania geothermal prospects for their power potential. Vertical Electrical Sounding (VES), a geophysical survey method was deployed in this study. VES was done to study the vertical variations of electrical resistivity in the geothermal prospects and to locate the extent of the reservoir/ fracture zones or the outflow regime of the thermal waters. The result showed that at Na John, River-muddy, Bwana Hutu, Mampulo, Mwakalinga and Kasumulo springs (VES 1, 2, 3, 4, 5 and 6 respectively), the apparent resistivities decreased with depth as one moves from the first top layer to the second. It was noted that in VES 3, 4 and 6, the second layers have low resistivity ranging from 3.3-5.0 Ωm. While in VES 5 the apparent resistivity decreased with depth in all three layers encountered. The layer thickness ranged from 0.9-1.2m in the top layers and from 0.9-33.0m in the second layers. VES 3, 4, 5, and 6 proved to be of hot thermal ground. The geothermal manifestation (hot springs) tended to be associated with regions of low resistivity. The Mampulo, Mwakalinga and Kasumulo springs are found to be located at the foot of concealed thermal outflows, which are supposed to be emerging from beneath the Rungwe volcanics. At the Songwe prospect, contrary to the expected huge hydrogeothermal reservoir, which could account for the reported and observed huge deposit of travertine (>150 mill. m 3 ), only a low resistivity zone of maximum depth of less then 10 m was encountered. This can by no means account for the huge travertine deposit and the still on going deposition of calcium carbonate at a rate of 5 g/s. This suggests that the reservoir is further upstream. Keywords: VES, travertine, apparent resistivity, Songwe prospect.

26 Geo-Environment 1 Introduction Geothermal energy is a natural calorific energy of the earth that partly originates from the decay of radioactive elements contained in the earth s mantle rocks. The other part, originate from the remnant heat of the hot magmatic rocks embedded in the crust. The hot springs, fumaroles and geysers, like volcanoes, are visible evidence of the existence of high temperature in the Earth s interior. Geophysical electrical surveys have been used successfully in geothermal exploration (Hochstein [1]). They have been particularly important on mapping faults, fractures, low resistivity caused by thermal fluids and hydrothermal alterations that results from the interaction of the thermal fluid and the country rocks or reservoir rocks (Hochstein [1]). The success of any geophysical method in exploring a given geothermal system usually depends upon the contrast of a set of physical rock properties inside and outside of a geothermal system that give rise to certain geophysical anomalies. Geophysical anomalies are caused by hot geothermal fluids, which can be related to certain fluid parameters like, temperature, mineralization, gas content of fluid and fluid movement. Such anomalies can be categorised as shallow temperature anomalies, resistivity (fluid) anomalies, natural potential anomalies, less well-defined attenuation anomalies of seismic waves and (seismic) ground noise anomalies. It has been noted that these anomalies occur only over active geothermal system and are confined to the geothermal reservoir or lateral outflows from such a reservoir (Hochstein [1]). SWECO-VIRKIR [2] in their preliminary study identified the geothermal resources potential of Tanzania, which unfortunately has few useful data for any of the thermal areas. Tanzania has an estimated geothermal energy potential of 650 MW (McNitt, [3]). Mbeya region was recommended for further investigation due to the reported high temperature (271 o C) of the predicted subsurface temperature of Rambo spring. The objective of this research is to determine hydrogeothermal power potential of some Hot Springs in Southwestern Tanzania. 2 Location and geology of the study area Vertical electrical resistivity variation was studied, using Schlumberger symmetrical array, to locate the reservoir or the outflow regime of the thermal water in the Mbeya prospect (SWECO-VIRKIR [2]), which is located to the Southwest Tanzania. The prospect has three main areas of geothermal interest: (1) Songwe valley area, which is located at Latitude 8 o 50-8 o 56 S and Longitude 33 o 10 E-33 o 15 E (Fig. 1). (2) The Mampulo/Kasumulo area, which is located at Latitude 9 o 31 S-9 o 54 S and Longitude 33 o 44 E-33 o 51 E (Fig. 2). (3) The Rungwe-Kalambo area, which is located at Latitude 9 o 22 S-9 o 27 S and Longitude 33 o 39 E-33 o 59 E (Fig. 2). Harkin, [4] and Ebinger et al [5] has reported that moderate hydrothermal activity occurs over and adjacent to the Rungwe volcanic field that consists of

Geo-Environment 27 mainly basaltic and trachytic rocks of Miocene to Quaternary age which infill the northern section of the Malawi Rift Valley. Mt.Kiejo, which is located north of the Mbaka fault, is an active volcano that erupted last time more than 200 yr ago. About 20 km to the north of Mt. Kiejo is the Rungwe volcano, which has no visible thermal activity is associated with the Rungwe volcano. Figure 1: Geological map of Songwe valley area showing the location of the hotsprings (modified from Spurr [6] and Brown [7]). The geology of some part of the study area that is shown in Fig. 1 was studied by various workers (Spurr [6]; Brown [7]; Morley et al. [8]; and Ebinger et al. [9]) who established that the surface geology consists of the following: the Rift related sedimentary basin believed to have been formed by the three rifting episodes namely the Permotriassic, the Cretaceous and the Cenozoic. On studying the evolution of the Rukwa basins, McConnell [10] and Cahen et al. [11] reported that the basins are faulted into the Ubendian Tectonic domain. They further stated that this tectonic domain, that forms the basement, is characterised by two facieses namely; high-grade metabasic and metasedimentary sequences with intensely mylonitized shear zones. The Songwe basin is filled with successions of sedimentary and volcanic rocks (Fig. 1). Brown [7] mapped the area during regional mapping programme. The hot springs referred in the text as geothermal manifestation discharge through vents in the Pleistocene travertine limestone draping over sandstone in the gorge above the Songwe River. Spurr [6] reported that the river flow is controlled by a major fault striking in a northwest-southeast direction to the north-west and an escarpment binding it to the south-east. Faulting has not been observed in the Karoo and Cretaceous rocks (Spurr [6]).

28 Geo-Environment Figure 2: Geologial map of Tukuyu, Rungwe-Kalambo and Kyela, showing the location of the hotsprings (modified from Harkin [4]). 3 Material and methods VES Soundings (Fig.3) were used to study the vertical variations of the electrical resistivity in the study area. Soundings with symmetrical Schlumberger array were used because they are less affected by near-surface disturbance than soundings made with other 4-point array (e.g. Werner or Dipole-dipole array). The apparent resistivity data was taken using a Sycal: JUNIOR-Ri Plus- R2/Elrec-T resistivity meter and ABEM Terrameter 3000C. The maximum

Geo-Environment 29 distance for AB (current electrodes) was 200 meters and MN (potential electrodes) was 50 meters. The very poor terrain especially in the Songwe prospect limited this. The current was sent into the ground through A and B to form a closed circuit, while the potential difference V was measured between M and N electrodes, which were kept fixed. A and B electrodes were moved outwards symmetrically in steps to the maximum attained separation of 200m. The VES lines were deployed along lines close to or across some hot springs as shown in Figs. 1 and 2. Traverse lines deployed at the Songwe prospect are as follows; AB (VES 1) at NaJohn hot spring, CD (VES 2) close to Songwe river above the boiling muddy springs, EF (VES 3) near Bwana Hutu springs in the thermal ground area (atm. T = 40 o C, Fig.1). At the Mampulo prospect are GH (VES 4) and IJ (VES 5) at Mwakalinga hot springs and thermal grounds. At Kasumulu is LM (VES 6) at thermal ground area close to the Tanzania Malawi border (Fig. 2). At each measurement, the current electrodes (A, B) were moved outward from the centre of the traverse. The apparent resistivity was read directly from the resistivity meter but where ABEM Terrameter was used, the apparent resistivity was calculated using equation (1) in accordance with Parasnis [12]. 2 2 L l V ρa = 2l I (1) where ρ a is apparent resistivity (ohm-m), L is AB/2 (m), l is MN/2 (m) and ( V/I) is the resistant (R) (ohms), (assuming symmetrical Schlumberger array). Figure 3: The Schlumberger array configuration. Where delta V is potential difference between M and N, I is current flowing through AB; A and B, M and N are current and potential electrodes, respectively. The interpretation of the data was done in the field for quick check of the quality of data on site and later on in the office by complete curve matching methods (E.A.E.G. [13]) to form a basis for modeling. Modeling was done using computer iterative techniques using VES software (SVES program). The data was plotted on a trace paper superimposed on a double logarithm graph (log-log graph of modulus 62.5). Any point, which plotted out of range, the measurements were repeated, and electrode connections checked. If all was well then the voltage was increased.

30 Geo-Environment The data was plotted on a trace paper superimposed on a double logarithm graph (log-log graph of modulus 62.5). The trace paper with data points was transferred to matching standard curve (E.A.E.G., [13]). The matching of the data point was done by trial and errors until a complete curve matching was attained, thus known as the complete curve matching. The marched curve was traced on the tracing paper to connect the data point and the curve index was written at the end point of the curve. Points for 1 st (h 1 ) layer and the resistivities: ρ 1, ρ 2 and ρ 3 were marked on the trace paper. Then the trace paper with the curve was transferred to the double logarithm graph. From the double logarithm graph the thickness of the 1 st (h 1 ) layer was read and the thickness of the 2 nd layer (h 2 ) was calculated (h 2 = h 1 multiplied by the respective curve index) in the probed point, respectively. Then ρ 1, ρ 2 and ρ 3, which are the resistivities of the three layers respectively, were also read from the same graph. This formed the initial model, required by the computer programs in order to complete the curve marching using interactive method (SVES Program). Figure 4: VES 1 across NaJohn hot spring. 4 Results and discussion The results are as shown in Fig. 4-9 (VES Profiles.1-6). The interpretation is based on the assumption that the earth is composed of a finite number of horizontal layers. Each layer is electrically homogeneous as well as isotropic (Parasnis [12]).

Geo-Environment 31 Figure 5: VES 3 at Bwana Hutu. 4.1 The Songwe prospect Part of the Songwe prosect proved to be difficult to make accurate (AB/2 = 200 m long) VES due to topography especially at NaJohn hot spring and the fracture controlled hot spring above the boiling springs. The travertine has developed sort of cliff like structure draping over sandstone on the wall of the gorge and the hot springs are coming out through travertine and precipitated calcium carbonate vents or fractures. Also at the riverbank a cluster of hotsprings are emptying their water into the Songwe River. Three VES were deployed at the Songwe prospect. VES 1 and 2 at the sidewall of the gorge on the draping travertine and VES 3 at low topography area close to and opposite the river bank as shown in Fig. 1. (1) VES No. 1 is an H type curve. Its apparent resistivity varying with depth from high in the first layer to low in the second layer and increased to infinity at the third layer (ρ 1 >ρ 2 < ρ 3 ); where the resistivity of the top layer is 38.0 Ω-m with a thickness of 10.0 (h 1 ), that of the second layer is 24.0 Ω- m with a thickness of 2.5 m (h 2 ) and increased to infinity in the third layer. (2) VES No. 2 is an A type curve with apparent resistivity increased with depth (ρ 1 > ρ 2 > ρ 3 ); where the resistivity of the top layer is 14.0 Ω-m with a thickness of 0.9 m (h 1 ), that of the second layer is 28.0Ω-m with same thickness as layer one (h 2 ) and 36.0 Ω-m for layer 3 (Table 1). (3) VES No. 3 is an H type curve with apparent resistivity varying with depth from high to low and then high (ρ 1 > ρ 2 < ρ 3 ). The resistivity of the top layer is 15.0 Ω-m with thickness of 1.0 m (h 1 ), that of the second layer is 4.0 Ω-m

32 Geo-Environment with a thickness of 12.0 m (h 2 ) and 36.0 Ω-m of the third layer. It is a hot thermal ground area (Fig. 5). Table 1: Summary of results. Prospect Songwe Mampulo/ Kasumulu Location of hot spring NaJohn hot springs VES No. Type Top layer Intermediate layer Bottom layer ρ (Ω-m) h (m) ρ (Ω-m) h (m) ρ (Ω-m) h (m) 1 H 38 10.0 24 2.5 infinity infinity Ilatire hot spring 2 A 14 0.9 28 0.9 36 infinity Bwana Hutu hot springs 3 H 15 1.0 4 12 36 infinity Mampulo 4 H 5 1.1 3.3 33 8 infinity Mwakalinga 5 Q 17.5 1.2 11.5 7.2 5.8 infinity Kasumulu 6 H 11 1.1 5 2.2 21 infinity 4.2 Mampul/Kasumulu At Mampulo prospect, two VES were deployed. The area is of very low terrain except for two little hills, Mampulo and Mwakalinga, one on the eastern part of Mampulo and the other one separating Mampulo from Mwakalinga. VES 4 and 5 were made at Mampulo itself and Mwakalinga in Mwampulo. (1) VES No. 4 is an H type with apparent resistivity varying with depth from high to low and then high (ρ 1 > ρ 2 <ρ 3 ). The resistivity of the top layer is 5.0 Ω-m with a thickness of 1.1.m (h 1 ), that of the second layer is 3.3 Ω-m with the thickness of 33.0 m (h 2 ) and 8.0 Ω-m of the third layer. It is a hot thermal ground area. (2) VES No. 5 is a Q type curve with apparent resistivity varying with depth from high to low (ρ 1 > ρ 2 > ρ 3 ). The resistivity of the top layer is 17.5 Ω-m with the thickness of 1.2 m (h 1 ), that of the second layer is 11.5 Ω-m with a thickness of 7.2 m (h 2 ) and 5.8 Ω-m of the third layer. It is a hot thermal ground area. (3) VES No. 6 was deployed at Kasumulu where the terrain is of low relief as compared to that of Songwe prospect. VES No. 6 is an H type curve (Fig. 8). Its resistivity varying with depth from high to low and then high (ρ 1 > ρ 2 < ρ 3 ); where the resistivity of the top layer is 11.0 Ω-m with a thickness of 1.1 m (h 1 ), that of the second layer is 5.0 Ω-m with a thickness of 2.2 m (h 2 ) and 21.0 Ω-m of the third layer. The difference between the values in VES 1 and 2 as compared to those in VES 3, 4, 5, and 6 may be due to topographical effect. However, since errors due to noise usually result in higher, rather than lower apparent resistivity values, the

Geo-Environment 33 lowest values here are taken to be the most likely reliable. This is supposed to be true because the study area is far away from any human activities. Thus representative values of 3.0-6.0 m are taken to be indicative of the hot thermal ground/ weathered formations of the study area. Hot thermal grounds exist over some parts of the Songwe, Bwana Hutu area and all over Mapulo/Kasumulu prospects. In VES 1,2,3,4 and 6 the apparent resistivities decreased with depth as one moves from the first top layer to the second. It was noted that the second layers of VES 3, 4 and 6, have low resistivity ranging from 3.3 5.0 m. while in VES 5 the apparent resistivity decreased with depth in all three layers encountered. The layer thickness of the top layer ranged from 0.9 1.2 m and from 0.9 33.0 m in the second layer. VES 3,4,5, and 6 proved to be of hot thermal. The geothermal manifestation tends to be associated with regions of low resistivity. Low values of resistivities implies that: (a) The phenomena is reflecting the geothermal reservoir itself, which contains hot water with a lot of dissolved minerals in it or (b) Hydrothermal altered zone that is formed partly over the geothermal reservoir by the movement of fluids from the deep to the shallower parts near the surface and partly by concealed outflows along the flowing regime. The low resistivity encountered in this study indicated the presence of hot thermal grounds at VES 3, 4, 5 and 6. Figure 6: VES 5 at Mwakalinga hot springs.

34 Geo-Environment Figure 7: VES 6 at Kasumulu hot spring. From the big volume of travertine deposited at Songwe prospect, one would have expected a big reservoir to account for such deposition but the maximum thickness of the second layer with the lowest apparent resistivity of 4.0 ohm-m was just 12.0m. This implies that the geothermal manifestation at Songwe prospect is just an outflow regime of far away big reservoir (s) that can replenish such volume and continuing rate of depositing travertine (estimated to be 5g/s). The big area of hot thermal ground at Mampulo had previously been thought to be the top of the reservoir. However, from the VES Sounding, the results indicate that the source is far away from the prospect. It seems that Mampulo/Kasumulu prospect are outflow areas (faults, fractures or underground channels) from some hot upflow sources located somewhere else. Kilambo prospect, which is not discussed in this paper, is about 15 km SSE of Kiejo volcano and close to a NW trending major fault zone (Mbaka fault) (Fig. 2). 5 Conclusion From the field observation and the VES survey results it can be concluded that the low shallow resistivity values are associated with geothermal activities. It has been shown that the geothermal manifestations in the case study area identify the outflow regime. It seems that this outflow originates from a high temperature reservoir, probably some tens of kilometres upstream from the spring areas. From the location of the different prospects in relation to the volcanic mountains, it can be concluded that the Mampulo/Kasumulo prospects hot springs originate

Geo-Environment 35 from the Rungwe volcanic and flow through confined aquifers or concealed faults and fractures to the place where geothermal manifestation are observed. Those of Songwe are thought to originate from Panda Hill, which is a carbonatite intrusion. The field results presented in this paper indicate that shallow low resistivity anomalies are associated with geothermal activity. This suggests that there is some active flow of geothermal fluids creating rock alterations like clays, which are electrically conductive. Therefore, further work is being done in areas that showed low resistivities anomalies to identify the upflows and the outflows. This will help in locating faults, thermal water channels or the reservoir itself, as it is not yet known. It still remains a challenge to locate the reservoir upstream by geophysical methods. Acknowledgements The authors wish to sincerely thank the Professorial Chair in Energy, Technology and Management for sponsoring the project and the Drilling and Dam Construction Agency (DDCA) for providing the geophysical instrument. The authors also appreciate the advice and field assistance provided by Mr. Anthony Kasonta, the DDCA geophysicists. References [1] Hochstein, M.P. (ed) (1982). Introduction to Geothermal Prospecting. Geothermal Institute, University of Auckland, New Zealand. [2] SWECO-VIRKIR. (1978). Reconnaissance Survey of Geothermal Prospects in Tanzania. A Consultant Report, SIDA. Ministry of Water Energy and Minerals [3] McNitt, J. R., (1982) The Geothermal Potential of East Africa. Proceedings of the Regional Seminar on Geothermal Energy in Eastern and Western Africa, Nairobi, Kenya. [4] Harkin, D. A. (1960). The Rungwe Volcanics. Mem. Geol. Sutv. Tanganyika II. 172p. [5] Ebinger, C. J., Deino, A. L., Drake, R. E. and Tesha, A.L. (1989). Neotectinics of Mbeya Area, SW Tanzania, Royal Museum for Central Africa. Department of Geology and Minerology. B3080. tervunen, Belgium. [6] Spurr, A. M.M. (1954). The Songwe Guano Caves, Mbeya District. Rec. Surv. Tanganyika Vol.1. [7] Brown, P.E. (1959). Summary of the Geology of Quarter Degree Sheet 70 SW, Mbeya. Tanzania. [8] Morley, C.K.K., Cunningham, S.M., R.M. and Westcott, W.A. (1992) Geology and Geophysics of the Rukwa Rift. East African Tectonics 1168-81. [9] Ebinger, C. J., Deino, A. L., Tesha, A.L., Becker, T. and Ring, U. (1993). Tectonic Controls on the Rift basin Morphology: Evolution of the

36 Geo-Environment Northern Malawi (Nyasa) Rift. Journal of Geophysical Research, 98, pp.17. [10] McConnell, C.K. (1982). Geological Development of the Rift System of the Eastern Africa. Bull. Soc. Amer.83, 2548-2572. [11] Cahen, L, Snellings, N.J., Delhal, J. and Vail, J.R. (1984). The Geochronology and Evolution of Africa. Amsterdam, North Holland PUB. Co. 200p. [12] Parasnis, D.S. (1986). Principles of Applied Geophysics. 4 th Edition. Chapman and Hall London [13] E.A.E.G. (1885) Standard Graphs for resistivity Prospecting. Swets & Zeitlinger, B.V. Lisse, The Netherlands.