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GEOLOGICAL AND GEOPHYSICAL INVESTIGATION OF A MAASTRICHTIAN COAL  SEAM AT EHA-ALUMONA/ORBA ENVIRONS  OF ENUGU  STATE

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ABSTRACT

Anambra Basin is one of the basins in Nigeria,  harbouring the largest deposit of sub-bituminous coal. Sub-bituminous coal exposures have been encountered in the Eha-Alumona/Orba  environs. This study therefore aims at delineating the coal seam and estimating the coal tonnage available. Integration of geological and geophysical interpretations was used in study of a coal sequence in MaastritchianMamu  Formation  at.  Outcrop  study in the  field shows  that the  coal seam was deposited   in   a  swampy   environment,   followed   by   a  tidally-influenced   shallow   marine environment  which  led  to  the  deposition  of heterolitic  layers  of shale  and  siltstone,  then deposition of fluvial sediments of the Ajali Formation.  Core samples were obtained from two wells drilled in the area.  Well 1   penetrated thick layers of Ajali Sandstone, then heterolithic beds of shale and siltstone before encountering the coal seam at an interval of 41 -41.6 m. Thickness of coal at this depth is 0.6 m,  which is just equal to the thickness of the coal seam at Iyi Coal spring 417 m southeast. Well 2 penetrated  much of the Mamu Formation to a depth of 61  m without any seam. Geophysical survey was then carried out to investigate coal seam continuity. Four Vertical Electrodes  Sounding (YES) were carried out. Results show that resistivity of the shale and mudstone beds masked the influence of the relatively thin coal seam. YES 1   and YES

4 showed Type KQ and KA curves.  Geo-electric sections matched significantly with Well 1   core data.  Coal seam occurs at the fourth layer at depths 40.7 -56.6 m. The thickness  of the seam cannot be deduced.  YES 2 and YES 3  showed Type H curves.  Geo-electric sections from YES 2 and YES 3  were tied to Well 2 core data and no Coal seam was penetrated  in Well 2.  Three dipole-dipole profiles were done to further analyse the lateral variation in resistivity  in order to understand the attitude of the seam laterally.  Profile 1   show that the seam occurs at depth of 30 m with resistivity values ranging from 4114 -12,986 ohm.m, while Profile 3 revealed resistivity

contours  equivalent to that of Profile  1    but with coal seam at depth of 24 m. Low resistivity values of Profile 2 signifies absence of coal seam.

Resistivity  depth slice maps of the three dipole-dipole  profiles  showed high resistivity  (about

18,000  ohm.m)  at the northwestern  comer  of the area which suggest areal occurrence of coal seam. NW-SE resistivity profile on these slice showed unusual uniformity  in resistivity  values across the seam which is proves lateral homogeneity.

The  seam  tonnage  within  the  study  area  was  estimated  accordingly  while  observing  the

Australian  Guidelines  for the Estimation  and Classification  of Inventory  Coal. An estimate  of

8,719 tonnes was recorded within an area of 10,380 m overlain by the Ajali Sandstone.

CHAPTER ONE

INTRODUCTION

1.1.      Background  of The Study

Nigeria is endowed with large coal deposits most of which are reported to be within the Benue Trough.  Many of the coal fields discovered  in Nigeria  are situated in the Benue Trough.  The Benue Trough ofNigeria which is subdivided into Lower, Middle and Upper portions contains a thick folded sedimentary pile ranging  in age from Albian to Recent (Kogbe,  1976).  Anambra Basin in the Lower Benue Trough is a major coal producing  basin in Nigeria where intensive exploration and exploitation activities have been going on sinceas a result of the discovery of commercial  coal  in  Udi  near  Enugu  in  1909  by  the  Mineral  Survey  of Southern  Nigeria (Famuboni,  1996).  The coal deposits of the Anambra  Basin,  located  in south eastern Nigeria, appear to contain the largest and most economically viable coal resources.  This basin covers an area of approximately  1.5  million  hectares  and has been  subdivided  into  seven coal mining districts (MMSD,  2010).  Some of these coal districts include the Benue district (Omkpa-Ezimo) and Enugu district. Over the years, exploration for coal in Nigeria has been around Udi, Enugu, Orukpa, Okaba, Ogboyoga-Odukpono  and west ofEnugu Escarpment (Michael, et al., 2008).

In southern Nigeria,  coal-bearing  formations  occur within the Upper  Cretaceous  and Tertiary sedimentary  successions  (Akande,  et  al.,  1992).  The  Cretaceous  Anambra  basin  consists  of rhythmic  elastic  sequences  of sandstones,  shales,  siltstones,  mudstones,  sandy  shales  with interbedded coal seams (Ogala, 2011). These Cretaceous sediments in the basin reach a thickness of 6000m  with  approximately  2000m  of these  sediments  deposited  in  the  basin  during  the Campanian-Maastrichtian. The coal seams in this basin are sub-bituminous and occur principally

at two  levels,  the  Lower  Coal  Measures  (Mamu  Formation)  and the Upper  Coal  Measures

(Nsukka Formation) (Ogala, 2011)

In the Lower Benue Trough, lignite and sub-bituminous coals occur within the Mamu Formation (Middle Campanian-Late Maastrichtian). In the Middle Benue Trough, high-volatile bituminous coals are found within the Awgu Formation (Middle Turonian-Early Santonian). In the Upper Benue Trough contains lignites and sub-bituminous  coals in the Gombe  Sandstone Formation (Early   Campanian-Late   Maastrichtian)   (Felix   &Yomi,   2013).   Subbituminous   coals   are distributed in sequences of Mamu and Nsukka Formations (Maastrichtian), while lignite deposits occur  in the  Oligocene-Miocene  Ogwashi-Asaba  Formation  (Reyment,   1965,  Akande,  et al.,

1992).  Together,  the coal and lignite resources  have an estimated  reserve  of 1.5 billion tons

(Orajaka et al., 1990) and 300 million tons respectively (Ogala, 2011)

Prior to the discovery of oil at Oloibiri in Bayelsa state in 1956,  coal played a significant role in Nigeria’s economic development (Felix &Yomi, 2013). These coal resources that have not been well explored and exploited and theseranges from bituminous to lignite (MMSD, 2010).

Total  dependence  on oil and oil-derived  foreign  exchange  in planning  the nation’s  economy resulted in the relegation of coal to the background. Hence,  coal production has steadily declined in  the  last  few  decades,  but  because  of the  need  for  more  energy  resource  for  national development  and economic growth,  coal industry  is recovering  world-wide  and Nigeria  is not left out.

The use  of geophysical  method  in the  study  of coal resources  is continually  being  used  in delineating and evaluating coal resources. It is also used in investigating flooding in mines and abandoned mines within Nigeria  and in other parts of the world were coal is present.  Several

methods have been adopted in these studies but the most effective  and often used has been the electrical methods which we have employed  in this research.  This project  attempts to delineate and estimate the amount of coal in the Eha-Alumona and Orba environs.

1.2.     Objective of Study

The main objective of this project is to delineate and estimate the amount of coal resources in the study area and the significance of geological factors in their extraction.  In summary,  the project is intended to

•    Identify the various coal seams in the study area.

•    Estimate the coal resources available, and

•    Determine the significance of geological factors of their extraction.

1.3.     Location and Accessibility of the Study Area

The  study  area  is located within  the Anambra  Basin,  a sub-basin  within  the  Benue  Trough Complex.  It covers an area of about 85km within latitudes 6°44’55.71″N and 649’10.94″N and longitudes 7″29’40.57″E and 7°35’29.68″E. This is within Eha-Alumona in NsukkaLGA and Orba in  UdenuLGA,  all  situated  in  Enugu  State,  Nigeria.  It  can be  accessed  through  the  minor roads/dirt tracksleading  either from Orba or Eha-AlumonaJunctions  along the Enugu- Makurdi Road. Paths linking villages, streams and farmlands also exist in the study area.

1.4.      Physiography of the Study Area

The physiography of the study area involves the climate, vegetation,  drainage and topography of the study area.

1.4.1.  Climate

The climatic condition of the study area is that of the typical rainforest  with the rainy season spanning from late March to October while dry season last from November to early March, with the NE trade winds (Harmattan winds) intervening between December  and January. The mean annual  rainfall   ranges   between   1875mm  and  2500mm  (Inyang,   1975)   and  the  average temperature is about 28°C.

1.4.2.   Vegetation

The vegetation of the area consists of slightly thick forest of the Guinea (tropical) Savannah with sparse  nucleated  village  settlementswith  their  farmlands.  Guinea  (tropical)  Savannah  is the vegetation belt of the Enugu area and it marks the northern limit of the rainforest and south limit of the  Guinea   savannah.   Also,   large   portion   of the  study  area   is  grown  by  Cashew (AnacardiumOccidentale)  which thrives well on the reddish Ajali Sandstone and GmelinaAborea plantation.  Plate  1-3  show team walking across traverses cut and cleared of vegetation  for the geo-electrical investigation.

1.4.3.   Topography

The Topography of the area is an undulating one; with elevation ranging from more than 450m in the North West to 180m around streams. The terrain is severally scarred in the western part by deep gullies caused by erosion of the friable loose  Ajali  Sandstone.  Gullies as deep as 200m were encountered.

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1.4.4.   Drainage

The study area is drained by rivers and streams running down from the Enugu escarpment at the west to the east and southeast. The drainage pattern of the study area is dendritic and scarring the Ajali  sands of the western region and flowing at a

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6

Plate3: Typical River flowing west-east across the study area.Amanyi River is the largest encountered. mudstone  and claystones  of the Mamu Formation  in the east. The rivers encountered  include theAmanyi,  IyiOtu,  Kokoro  etc.  These  rivers  are  generally  shallow.  The  Amanyi  River  is

shownin plate3.

64930N                                                                                                                                                                                                                                                                                  64930N

6490N                                                                                                                                                                                                                                                                                                                6490N

64830N                                                                                                                                                                                                                                                                                  64830N

Legend

•      Settlement

Accessibility

—— Footpath minor road

Drainage

Contours

6480N                                                                                                                                                                                                                                                                                                                648 0 N

1150

64730N                                                                                                                                                                                                                                                                                  64730N

7

Fig 1: Map of the study area showing relief, drainage, settlement and accessibility. Note:  Contours are in feet.

6510N                                                                                                                                                      6510N

6500N

6490N

~(

6470′N

Legend

Drainage

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Fig  2:  Digital  Elevation  Map  (DEM)  showing contours and Drainage

0.5

Kilometers

730OF                                       7310′E                                       7320€

Fig 3: Triangulation Irregular Network (TIN)created from Digital  Elevation  Map  (DEM) of the  study  area  mapped   in

Figure 2.

Elevation

I 419.778447

I 392.556- 419.773

I 365.333-  392.556

l 338.111 365.333

310.889 338.111

283.667 310.889

256.444 – 283.667

I 229.222  – 256.444

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1.5.      Previous Work

The  stratigraphy  of the  southern  Benue  Trough  has  been  described  by  many  authors  (e.g. Simpson,1954;  Reyment,  1965; Agagu  et al.,  1985), but  a more recent  description  has been provided  by  Nwajide   (2005).  Several  authors  have  laid  emphasis  on  the  geology  of the petroliferousAnambra  Basin because of the good exposures of the Cretaceous  successions and exploratory wells drilled by oil companies  compared with the other areas of the Benue Trough (Akande,  et al., 1992)  There are extensive studies of the Cretaceous-Tertiary  sediments of the Southern Benue Trough,  for which Anambra Basin is part of and since the discovery of coal in thebasin in 1909,  several quantitative and qualitative research works has been done on the basin to delineate, evaluate or analyse the quality (composition, rank, depositional environments  and technological properties) of the coal seams.

A great contribution  to the understanding  of the relationships  of the coal-bearing  sediments  was made by Tattam  (1944) who showed that the coals did not at all occur  in one formation, as was previously  thought, but rather belonged to two distinct formations, separated by a great thickness of sandstone,  namely  the  Lower  Coal  Measures  and  the  Upper  Coal  Measures.  Akandeet.al (1992)  recognized   that  in  southern  Nigeria,  coal-bearing   formations  occur  within  the  upper Cretaceous  and Tertiary sedimentary  successions.

Reyment  (1965) recognized  that sub-bituminous  coals are distributed  in sequences  of Mamu and Nsukka   Formations   (Maastrichtian),   while  lignite  deposits  occur   in  the  Oligocene-Miocene Ogwashi-Asaba  Formation.Chiaghanam et al (2013) noted  that the shales and mudstones  of the Mamu  Formation  are dark  blue  or grey  and  frequently  alternate  with  the  sandstone  to  form  a characteristically   striped  rock  and  coal  seams  vary  in  thickness   from  a  few  inches  to  12ft. (Reyment  1965,  Simpson  1956  and Whiteman  1982).

Petters and Ekweozor  (1982), Orajaka  et al.  (1990), Akande et al.  (1992) and Ogala (2011) have reported  that the Nigeria  Coal and Lignite resources  have an estimated reserve of 1.5 billion tons and  300  million  tons,  respectively,  although   most  of these  coal  depositslieunexplored  and abandoned.

Fatoye and Gideon (2013) reported  the occurrence  of coal in several part of the country and this includesEzimo, Enugu  State which  is about  5  km  from the study area. They noted  that Iyi coal deposit is the only deposit that occurs in the Upper  Coal Measures  while other deposits occur in the Lower Coal Measures.  They also noted that it is thinner and poorer in quality than the coal of the Lower Measures.

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Akande et al. (1992) characterised the coals of the Upper Cretaceous and Tertiary from southern Nigeria  using  their  maceralcompositions   such  as  huminites,  inertinites  and  liptinite.  They postulated that the coal of the Anambra Basin was deposited in environments ranging from forest swamp to fen swamp.

Chiaghanam et al. (2013) carried out lithofacies and palynological  analysis of the lithofacies in Mamu Formation.  They suggests that the coarsening upward sequence is indicative of decrease in sea level,  and the intercalation  of Siltstone/Sandstone  and Shale in the lithofacies of Enugu Shale  with  its  high  abundance  and  diversity  of Palynomorphs   suggest  a  shallow-marine environment with Tidal influence.

Babatunde(2010)  suggests that the Maastrichtian  coals of the Mamu Formation with high Total Organic Carbon (TOC) value of 56.05 wt. % are of the type III/IV kerogen  and the thermal maturity of the coal is of low level conversion,  while Ogala(2011) gave the TOC to range from

0.07 to 61.42 wt. % confirming the same kerogen type. He suggested  further that the genetic potential (GP) and hydrogen index (HI) values range from 0.05 to 332 mg HC/g rock and 40 to

771  mg  HC/g  respectively,  which  indicate  that  the  sediments  have  gas  and  oil  generating potential though vitrinite reflectance (R)  of 0.47 to 0.78% and Maximum Temperature  (Tmax) of 338 and 441C suggestthermally  immature to marginally mature with respect  to petroleum generation.

Adedosu  et  al.  (2007)  analysed  sub-bituminous  coal  from Ribadu,  Okaba,  Orukpa,  Okpara, Ogboyoga and lignite from Asaba for concentration of trace metals using the energy dispersive x-ray fluorescence spectrophotometer  (EDXRF)and subsequently determined the origin, organic matter input, maturity and mineralogical importance of the coals.

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Mamah  et  al.   (2014)  utilized  several  geologic  models  such  as  digital/terrain   model  for topographic  assessment,  delineation of resource  target  areas to include the subcropline  to aid mining activities via establishing a wash-out elevation and zones and also corelogsfor subsurface delineation and evaluation of Okobo-Enjema  coal resources in Kogi State within the Lower Coal Measures ofMamu Formation.

Resistivity  technique  is a useful  tool routinely  used under  a variety  of field conditions  and geological  settings  in  environmental  geology  and  geotechnical  engineering  (Dahlin,   1996; Parasnis,  1997; Beresnev et al., 2002; Vchery and Hobbs, 2003; Godio and Naldi, 2003)

Verma  and  Bhuin  (1979)  used  the  electrical  resistivity  method  to  study  coal  seams  in  the Jhariaand Raniganj  coalfield, India, respectively. They adopted various electrode configurations such as Wenner,  two-electrode  and half-  Schlumberger,  for the  horizontal  profiling  and the Schlumberger  for the VES.Comparative  studies  were  carried  out  and the result  showed  that Wennergives a broad response,  two- electrode gives less noisy result with sharp peaks over the coal seams and the half Schlumberger  gives good outline of the seam on the resistivity  curve. Resistivity of coal seam obtained in the studies was up to 1140 0.m.

Aweto and Adaikpoh (2014) adopted the square array method which was originally developed as an alternative  to  Wenner  or  Schlumberger  array.  It  resolves  dipping  subsurface,  bedding  or foliation by isolating current direction. They were able to delineate the geologic sequence at the Ezimo coal fieldwhich is similar to that observed at the study area at hand.  Resistivity acquired for  the  coal  seam  ranges  from  4900  -90590.m.  From  borehole  records,  they  gave  seam thicknesses that range from 0.1 -2 m at the coal fields. Also, suggested that the seams are not extensive  having  that  >70%  of the  points  sounded  indicated  anomaly  traceable  to  the  coal occurrence.

Utom  (2012)  adopted  the  Schlumberger   array  method  in  investigating  the  water  quality predicting aquifer parameters  and acid mine drainage at Okpara coal mine, Enugu. Among his findings   include   the  resistivity   of  coal  seams1326   -5831   Q.m,probable   shallow   aquifer resistivity28 – 527 n.m, thickness 2.1-22.5 m and depth to seam 3.1 -28.3 m.

Dahlin& Zhou (2004) have investigated the resolution  capacity and efficiency of 10 electrode arrays in a numerical  modelling  study.  They  find that the dipole-dipole, pole-dipole  and the gradient  arrays  have  the  best  resolution.  However  these  arrays  are  most  sensible  to  noise, whereas the often used Wenner array and the gamma array are less sensible to noise. Despite the sensitivity  to noise,  they recommend  for 2D resistivity  surveying  collected  with a high data density,  the  gradient,  pole-dipole  and  dipole-dipole  arrays  as  well  as  Schlumberger  array, because of their resolution capacity.

Sheets (2002) under the USGS reported the survey at two sites along State Route 32 in Jackson and  Vinton  Counties  Ohio  using  Electrical  resistivity  method.  The  surveys  were  done  to determine whether the electrical resistivity  method could identify areas where coal was mined, leaving air- or water-filled voids.  He reported that these voids can be local  sources of potable water or acid mine drainage and that they could also result in potentially dangerous collapse of roads or buildings that overlie the voids.  He also noted that resistivity response of air- or water• filled voids  compared  to the surrounding  bedrock  may allow electrical  resistivity  surveys  to delineate areas underlain by such voids.



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