Reservoir characterisation of compacted sandstones in the Osmancık Formation, Thrace Basin, Türkiye

The Thrace Basin houses the main gas-producing fields of Türkiye. The gas reservoirs in the basin are mostly located in deltaic sediments of the Oligocene Osmancık Formation where the hydrocarbon-bearing sandstone reservoirs generally reflect class 3 type of amplitude-versus-offset (AVO) anomalies. Our results indicate that AVO behaviour changes from Class 3 to Class 2 response due to the ascending compaction trend of the lithology with increasing depth. Acoustic impedances (AI) show an abrupt increase, because of higher compaction of the sandstones of the Osmancık Formation. Bright spots are the distinctive characteristics of gas sands encased in shale lithology in seismic stack sections. However, at higher depths of the Osmancık Formation, sweet spots tend to disappear due to lower porosity and permeability at the producing reservoir intervals. We propose a workflow to integrate pre-stack seismic analysis and lithology prediction of the field to characterise the gas-producing reservoirs. Spatial distribution of gamma ray values obtained with neural network prediction indicates highly lateral variation of shaliness, which is directly related to reservoir quality in the deeper Osmancık Formation. Therefore, diagenesis in sandstones and increase in shaliness play a crucial role in terms of evaluation of petrophysical properties of the reservoir, such as porosity and permeability.

Authors

Institutions

Publication Details

Journal
First Break
Published
2025-05-01
DOI
https://doi.org/10.3997/1365-2397.fb2025031
Primary Topic
Hydraulic Fracturing and Reservoir Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reservoir characterisation of compacted sandstones in the Osmancık Formation, Thrace Basin, Türkiye

Taner Arpacı, İsmail Ömer Yılmaz, Serhat Akın, Emin U. Ulugergerli
First Break
Hydraulic Fracturing and Reservoir Analysis
article

Reservoir characterisation of compacted sandstones in the Osmancık Formation, Thrace Basin, Türkiye

Taner Arpacı, İsmail Ömer Yılmaz, Serhat Akın, Emin U. Ulugergerli
article en

Abstract

The Thrace Basin houses the main gas-producing fields of Türkiye. The gas reservoirs in the basin are mostly located in deltaic sediments of the Oligocene Osmancık Formation where the hydrocarbon-bearing sandstone reservoirs generally reflect class 3 type of amplitude-versus-offset (AVO) anomalies. Our results indicate that AVO behaviour changes from Class 3 to Class 2 response due to the ascending compaction trend of the lithology with increasing depth. Acoustic impedances (AI) show an abrupt increase, because of higher compaction of the sandstones of the Osmancık Formation. Bright spots are the distinctive characteristics of gas sands encased in shale lithology in seismic stack sections. However, at higher depths of the Osmancık Formation, sweet spots tend to disappear due to lower porosity and permeability at the producing reservoir intervals. We propose a workflow to integrate pre-stack seismic analysis and lithology prediction of the field to characterise the gas-producing reservoirs. Spatial distribution of gamma ray values obtained with neural network prediction indicates highly lateral variation of shaliness, which is directly related to reservoir quality in the deeper Osmancık Formation. Therefore, diagenesis in sandstones and increase in shaliness play a crucial role in terms of evaluation of petrophysical properties of the reservoir, such as porosity and permeability.

First BreakVol. 43(5)
Çanakkale Onsekiz Mart Üniversitesi (TR), Middle East Technical University (TR)
Openalex Percentile: Top 91%
Hydraulic Fracturing and Reservoir Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.