Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 4934-4954 |
| Number of pages | 21 |
| Journal | International journal of remote sensing |
| Volume | 40 |
| Issue number | 13 |
| Early online date | 15 Feb 2019 |
| DOIs | |
| Publication status | Published - 3 Jul 2019 |
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Keywords
- UT-Hybrid-D
- ITC-ISI-JOURNAL-ARTICLE
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The influence of cap rock composition on hydrocarbon seep type in the Zagros oil fields, a study using Advanced Spaceborne Thermal Emission and Reflection Radiometer mineral map. / Salati, Sanaz; Van Ruitenbeek, F.J.A.; Van Der Meer, F.D.
In: International journal of remote sensing, Vol. 40, No. 13, 03.07.2019, p. 4934-4954.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - The influence of cap rock composition on hydrocarbon seep type in the Zagros oil fields, a study using Advanced Spaceborne Thermal Emission and Reflection Radiometer mineral map
AU - Salati, Sanaz
AU - Van Ruitenbeek, F.J.A.
AU - Van Der Meer, F.D.
N1 - Taylor & Francis deal
PY - 2019/7/3
Y1 - 2019/7/3
N2 - The persistent natural hydrocarbon seepage in onshore basins challenges observation and exploration technologies, which are required to document and assess these valuable indications of the presence of oil and gas in the subsurface. This paper aims at demonstrating the relationship between the compositional variation of an evaporite cap rock and the types of seeps occurring at the surface. For this purpose, the multispectral Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data was utilized for mapping mineral variations of a petroleum system in the Zagros oil fields. Relative absorption-band depth (RBD), band rationing and the boosted regression trees (BRT) were applied to enhance and classify the mineral composition of evaporite, sandstone, and marly limestone formations. The gas seeps were associated with the areas of gypsum-bearing evaporite cap rock while oil seeps were mostly associated with calcite and clay zones within the cap rock, which was more prone to fracturing during the tectonic activities of the basin. It is suggested that the application of remote sensing in the oil and gas industry could be widened by detection of sleep-induced alteration to assess the efficiency of cap rock and to evaluate the productivity of reservoirs at a regional scale.
AB - The persistent natural hydrocarbon seepage in onshore basins challenges observation and exploration technologies, which are required to document and assess these valuable indications of the presence of oil and gas in the subsurface. This paper aims at demonstrating the relationship between the compositional variation of an evaporite cap rock and the types of seeps occurring at the surface. For this purpose, the multispectral Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data was utilized for mapping mineral variations of a petroleum system in the Zagros oil fields. Relative absorption-band depth (RBD), band rationing and the boosted regression trees (BRT) were applied to enhance and classify the mineral composition of evaporite, sandstone, and marly limestone formations. The gas seeps were associated with the areas of gypsum-bearing evaporite cap rock while oil seeps were mostly associated with calcite and clay zones within the cap rock, which was more prone to fracturing during the tectonic activities of the basin. It is suggested that the application of remote sensing in the oil and gas industry could be widened by detection of sleep-induced alteration to assess the efficiency of cap rock and to evaluate the productivity of reservoirs at a regional scale.
KW - UT-Hybrid-D
KW - ITC-ISI-JOURNAL-ARTICLE
UR - https://ezproxy2.utwente.nl/login?url=https://doi.org/10.1080/01431161.2019.1577577
UR - https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2019/isi/salati_inf.pdf
U2 - 10.1080/01431161.2019.1577577
DO - 10.1080/01431161.2019.1577577
M3 - Article
VL - 40
SP - 4934
EP - 4954
JO - International journal of remote sensing
JF - International journal of remote sensing
SN - 0143-1161
IS - 13
ER -