Subsurface temperature anomalies reveal blind geothermal systems: A case study from the Aryskum Depression, South Torgai Basin, Kazakhstan

The petroliferous Aryskum Depression, located within the South Torgai Basin, Kazakhstan, comprises several grabens up to 6 km deep, separated by horsts with more than 4 km of structural relief. Spatial analysis of reported reservoir and measured bottomhole temperatures from oil and gas wells revealed elevated geothermal gradients, ranging from 29 to 45 °C/km. An underlying active mantle plume is the main source of this anomalous heat flux. Higher gradients (>35 °C/km) are likely related to additional factors, including radiogenic heat production from granites in the basement, high thermal conductivity of the crust (including intrusive bodies), and convective heat transfer by hydrothermal fluids circulating through open faults within the highly fractured basement and sedimentary basin-fill. The overlay of basement lithotypes, faults, and reservoir-quality sands allowed for robust delineation of isotherms and prediction of geothermal reservoirs. Favorable conditions exist across the basin for both direct electricity generation with temperatures of ∼150 °C at depths of ∼4.3 km, and direct heat utilization from shallower aquifers. The study demonstrates how integration of data from various sources, in a structural and sedimentological framework, can advance exploration for blind geothermal systems in analogous basins worldwide.

Authors

Institutions

Publication Details

Journal
Energy Reports
Published
2026-09-10
DOI
https://doi.org/10.1016/j.egyr.2026.109636
Primary Topic
Geothermal Energy Systems and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Subsurface temperature anomalies reveal blind geothermal systems: A case study from the Aryskum Depression, South Torgai Basin, Kazakhstan

Assel Zhalgasbayeva, Aidos Temirkhassov, Kamal Raj Regmi, Milovan Fustic et al.
Energy Reports
Geothermal Energy Systems and Applications
article

Subsurface temperature anomalies reveal blind geothermal systems: A case study from the Aryskum Depression, South Torgai Basin, Kazakhstan

Assel Zhalgasbayeva, Aidos Temirkhassov, Kamal Raj Regmi, Milovan Fustic, Mahmoud Leila, Ashirgul Kozhagulova, Yerlibek Bolat, Dias Kadirbek, Galymzhan Yensepbayev, Stephen E. Grasby
article en

Abstract

The petroliferous Aryskum Depression, located within the South Torgai Basin, Kazakhstan, comprises several grabens up to 6 km deep, separated by horsts with more than 4 km of structural relief. Spatial analysis of reported reservoir and measured bottomhole temperatures from oil and gas wells revealed elevated geothermal gradients, ranging from 29 to 45 °C/km. An underlying active mantle plume is the main source of this anomalous heat flux. Higher gradients (>35 °C/km) are likely related to additional factors, including radiogenic heat production from granites in the basement, high thermal conductivity of the crust (including intrusive bodies), and convective heat transfer by hydrothermal fluids circulating through open faults within the highly fractured basement and sedimentary basin-fill. The overlay of basement lithotypes, faults, and reservoir-quality sands allowed for robust delineation of isotherms and prediction of geothermal reservoirs. Favorable conditions exist across the basin for both direct electricity generation with temperatures of ∼150 °C at depths of ∼4.3 km, and direct heat utilization from shallower aquifers. The study demonstrates how integration of data from various sources, in a structural and sedimentological framework, can advance exploration for blind geothermal systems in analogous basins worldwide.

Energy ReportsVol. 16
Almaty Management University (KZ), Natural Resources Canada (CA), Geological Survey of Canada (CA), Astana Medical University (KZ), Atyrau University of Oil and Gas (KZ), Nazarbayev University (KZ)
Nazarbayev University
Climate action
Openalex Percentile: Top 29%
Geothermal Energy Systems and Applications
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.