@article{fdi:010089124,
  title = {{A}pplication of the electrical resistivity method and the estimation of limestone volume : a case study},
  author = {{N}dam {N}jikam, {M}.{M}. and {Y}em, {M}. and {R}ibodetti, {A}lessandra and {M}ohamed, {A}. and {S}oumah, {A}. and {J}unior, {M}.{P}. and {A}larifi, {S}.{S}. and {A}bdelrady, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he present work used the electrical resistivity approach to conduct a three-dimensional modeling and initial volume estimation of the limestone layer in the {M}intom region located in southern {C}ameroon. {I}n order to achieve the objectives of the study, a total of 21 electrical soundings spaced 250 m were first collected in the field using the {S}chlumberger array. {T}hese soundings were conducted along three profiles oriented in an east-west direction, spaced 500 m. {A}dditionally, a geological survey was conducted to identify and emphasize the presence of limestone formations within the designated study region. {T}he interpretation of the sounding data was conducted based on the analysis of the sounding curves. {T}he interpretation outcomes, specifically resistivity and thickness, were compared with the geological field data, resulting in the development of lithostratigraphic logs for each sounding. {T}he geological sections were constructed using the logs of the designated profile. {T}he lithological logs were utilized to establish a lithological interface model and calculate the volume of the limestone layer at 260 ± 13 × 106 m3 , utilizing the inverse distance method built into {R}ock{W}orks software. {A} resistivity value is assigned to each geological layer in a sounding curve, allowing for the development of a resistivity variation model specific to the limestone layer. {T}he proposed model facilitates the categorization of limestone layers based on their resistivity variations, thus serving as a fundamental reference for prospective exploratory activities within the designated study region. {O}ur integrated approach provides a replicable model for a better understanding of the limestone reserve and effective management of this valuable resource.},
  keywords = {{CAMEROUN} ; {MINTOM} {REGION}},
  booktitle = {},
  journal = {{F}rontiers in {E}arth {S}cience},
  volume = {11},
  numero = {},
  pages = {1280414 [13 ]},
  ISSN = {2296-6463},
  year = {2023},
  DOI = {10.3389/feart.2023.1280414},
  URL = {https://www.documentation.ird.fr/hor/fdi:010089124},
}