Indonesia has the potential for asphalt deposits, especially on Buton Island. In determining asphalt resources, the most important parameter is the accuracy of the geological model. In geomodeling, there are several criteria, including analysis of geological complexity, analysis of quality distribution, and subsurface mapping to observe the geometry of the distribution of asphalt layers resulting from drilling activities. This paper aims to produce a geomodeling of asphalt deposits. The method used is the correlation between surface mapping data and subsurface data, in the form of sixty exploration drill holes data, then a subsurface geological model is generated. The results showed that there were four layers of asphalt found, where three layers of asphalt split into two layers. The asphalt layer found has varying thickness which is influenced by the presence of weak zones and is in the form of a fluid. The distribution direction of the modeled asphalt layer and several asphalt outcrops resulting from surface mapping are known to have a known stance and layer slope, the asphalt outcrop has a strike layer of N1950 – 2350E towards Southwest – Northeast and the slope of the layer is relatively gentle, which is between 150 – 200 NW. The geological model produced can be used as a reference for mining companies in detailed planning exploration and estimating resources.

1.
Officials
,
T.
Standard Specification for Asphalt Cement Standard Specification For.
2004
,
70
,
1
2
.
2.
Satyana
,
A.H.
World-Class Asphalt Deposits of Buton Island, SE Sulawesi, Indonesia: Geology, Geochemistry, Mining Status and Problems
.
Proceedings, Indones. Soc. Econ. Geol. SULAWESI Miner. Resour. Semin.
28-29
2011
,
1
15
.
3.
Suryana
,
A.
;
Muna
,
K.
;
Sumber
,
I.
;
Mineral
,
D.
Inventarisasi Endapan Bitumen Padat Dengan Outcrop Drilling Di Daerah Kulisusu Dan Sekitarnya Kabupaten Muna
,
Provinsi Sulawesi Tenggara.
2005
,
1
15
.
4.
Rahmawati
;
Zauhar
,
S.
;
Mardiyono
;
Santoso
,
B.
The Management Policy of Asphalt Buton Mine in Reformation Era in the Political Economy Perspective in Buton Regency of Indonesia
.
Russ. J. Agric. Socio-Economic Sci.
2018
,
78
,
298
304
, doi:.
5.
Cowan
,
E.J.
;
Beatson
,
R.K.
;
Fright
,
W.R.
;
Mclennan
,
T.J.
;
Mitchell
,
T.J.
Rapid Geological Modelling
.
Aust. Inst. Geosci. Bull.
36
2002
,
23
25
.
6.
Lin
,
B.
;
Zhou
,
L.
;
Lv
,
G.
;
Zhu
,
A.X.
3D Geological Modelling Based on 2D Geological Map
.
Ann. GIS
2017
,
23
,
117
129
, doi:.
7.
Fallara
,
F.
;
Legault
,
M.
;
Rabeau
,
O.
3-D Integrated Geological Modeling in the Abitibi Subprovince (Québec, Canada): Techniques and Applications
.
Explor. Min. Geol.
2006
,
15
,
27
42
, doi:.
8.
Chiles
,
J.P.
;
Aug
,
C.
;
Guillen
,
A.
;
Lees
,
T.
Modelling the Geometry of Geological Units and Its Uncertainty in 3D from Structural Data - The Potential-Field Method
.
Australas. Inst. Min. Metall. Publ. Ser.
2007
,
14
,
355
362
.
9.
Marwanza
,
I.
;
Nas
,
C.
;
Azizi
,
M.A.
;
Simamora
,
J.H.
Comparison between Moving Windows Statistical Method and Kriging Method in Coal Resource Estimation
.
J. Phys. Conf. Ser.
2019
,
1402
, doi:.
10.
Caumon
,
G.
;
Gray
,
G.
;
Antoine
,
C.
;
Titeux
,
M.O.
Three-Dimensional Implicit Stratigraphic Model Building from Remote Sensing Data on Tetrahedral Meshes: Theory and Application to a Regional Model of La Popa Basin, NE Mexico
.
IEEE Trans. Geosci. Remote Sens.
2013
,
51
,
1613
1621
, doi:.
11.
Calcagno
,
P.
;
Chilès
,
J.P.
;
Courrioux
,
G.
;
Guillen
,
A.
Geological Modelling from Field Data and Geological Knowledge. Part I. Modelling Method Coupling 3D Potential-Field Interpolation and Geological Rules
.
Phys. Earth Planet. Inter.
2008
,
171
,
147
157
, doi:.
12.
Satyana
,
A.H.
;
Faulin
,
T.
;
Mulyati
,
S.N.
Tectonic Evolution of Sulawesi Area 
:
2011
.
13.
Satyana
,
A.H.
Collision of Micro-Continents with Eastern Sulawesi
:
Records from Uplifted Reef Terraces and Proven-Potential Petroleum Plays.
2018
, doi:.
14.
Mei
,
G.
Summary on Several Key Techniques in 3D Geological Modeling
.
Sci. World J.
2014
,
2014
, doi:.
15.
Pravianto
,
W.
Kumpulan Teknologi Asbuton
;
2013
; ISBN 9786022640585.
16.
North Carolina Department of Transportation Asphalt Quality Management System.
2016
.
17.
Li
,
Y.
;
Guo
,
M.
;
Liu
,
X.
Macroscopic and Microscopic Characterization of the Effect of “Activation” Process on the Performance of Buton Rock Asphalt-Modified Asphalt
.
Adv. Mater. Sci. Eng.
2020
,
2020
, doi:.
18.
Qu
,
F.
;
Lv
,
S.
;
Gao
,
J.
;
Liu
,
C.
Performance and Mechanism of Asphalt Modified by Buton-Rock Asphalt and Different Types of Styrene-Butadiene-Rubber
.
Appl. Sci.
2020
,
10
, doi:.
19.
Diharjo
,
M.S.D.
Analisis Perbandingan Kadar Bitumen Dan Kadar Air Di Tambang a Dan F Pada Pt. Wika Bitumen Buton Sulawesi Tenggara
.
J. Geomine
2017
,
5
,
29
34
, doi:.
20.
Henken
,
A. M.
,
Van Der Hel
,
W.
,
Hoogerbrugge
,
A.
and
Scheele
,
C.W.
No Title.
Ocean Model.
2005
,
22
,
261
287
.
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