History of Oil and Natural Gas Production in the Békés Basin

Kovács, Annamária; Teleki, Paul G.

doi:10.1007/978-94-011-0954-3_12

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…The lower measuring limit of the standard laboratory permeability meter was −1 log mD in the 1980s-1990s [10]. One part of the measured samples originates from the fractured part of the formation [60], so the measured higher permeability values do not deliver information about matrix permeability. Two conceptual groups have been formed relating to the overpressure generation mechanisms in case of the Pannonian Basin.…”

Section: Discussionmentioning

confidence: 98%

“…A porosity and a permeability measurement program have been carried out in case of underrepresented lithostratigraphic units. Shale-rich formations (delta slope, prodelta, and pelagic sediments) were underrepresented, due to its low hydrocarbon reservoir perspectives [59,60]. The measure program delivered that the finalized porosity-depth and porosity-effective stress trends rely on measured core-based and calculated well logderived porosity values.…”

Section: Porosity Permeability and Compaction Trendsmentioning

confidence: 99%

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Magnitude Estimation of Overpressure Generation Mechanisms Using Quantitative Stochastic 2D Basin Models: A Case Study from the Danube-Tisza Interfluve Area in Hungary

Nagy¹,

Baracza

Szabó

2021

Applied Sciences

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The overpressure formation in the Pannonian basin, Hungary, was investigated but has not been properly understood for the last 40 years because at least two different explanations were delineated. The first explanation considers the hydrocarbon generation as the main overpressure generation mechanism with some undercompaction contribution. On the contrary, another explanation assumes tectonic stress as the main trigger of abnormal pressure. The following research delivers a suitable workflow to understand which generation mechanisms were active in the study area and estimate the quantitative contribution of the mechanisms. The developed workflow relies on the basin modeling principles that were designed to simulate subsurface processes on a geological timeframe. Moreover, the uncertainty of input parameters was considered, and the joint application of a heuristic Monte Carlo simulation scheme and improved basin modeling resulted in stochastic pore pressure models. The most frequent value (MFV) method was applied on the simulated values to test a robust statistical method in pore pressure prediction. The study has identified not only the four main overpressure generation mechanisms, but it could calculate the individual contribution to the subsurface pressure. Finally, two independent and stochastic pore pressure prediction methods have been developed that could be used in the pre-drill well planning phase and the real-time prediction during drilling.

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Section: Discussionmentioning

confidence: 98%

Section: Porosity Permeability and Compaction Trendsmentioning

confidence: 99%

Magnitude Estimation of Overpressure Generation Mechanisms Using Quantitative Stochastic 2D Basin Models: A Case Study from the Danube-Tisza Interfluve Area in Hungary

Nagy¹,

Baracza

Szabó

2021

Applied Sciences

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“…For the Data Collection segment of our study, we utilized data from 67 wells in the study area which is located in the Southern Part of the Bekes Basin, Hungary, a site previously explored for hydrocarbon but now considered for its geothermal potential [29]. This field encompasses two potential formations, the shallow Szolnok Formation as an aquifer [30] and the deeper Bekes Formation [29], offering a unique lens to examine heat storage capabilities. The selection of 3.88 km as the side length for our analysis squares derives from the optimal area typically utilized for injection and production processes within such formations.…”

Section: Data Collectionmentioning

confidence: 99%

Guided Transformation of Abandoned Hydrocarbon Fields into Heat Storage Solutions Using Enhanced MCDA-AHP Geostatical Based Method, Hungarian Case Study

Abdulhaq,

Geiger,

Vass

et al. 2024

Preprint

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This study introduces a robust methodology utilizing Multi-Criteria Decision Analysis (MCDA) combined with the Analytic Hierarchy Process (AHP) to repurpose abandoned hydrocarbon fields for energy storage, supporting the transition to renewable energy sources. We use a geostatistical approach integrated with Python scripting to analyze reservoir parameters—including porosity, permeability, thickness, lithology, temperature, heat capacity, and thermal conductivity—from a decommissioned hydrocarbon field in Southeast Hungary. Our workflow leverages stochastic simulation data to identify potential zones for energy storage, categorizing them into high, moderate, and low suitability scenarios. This innovative approach provides rapid and precise analysis, enabling effective decision-making for energy storage implementation in depleted fields.

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Structure of the Békés Basin Inferred from Seismic Reflection, Well and Gravity Data

Grow

Mattick

Bérczi-Makk³

et al. 1994

Basin Analysis in Petroleum Exploration

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History of Oil and Natural Gas Production in the Békés Basin

Cited by 5 publications

References 9 publications

Magnitude Estimation of Overpressure Generation Mechanisms Using Quantitative Stochastic 2D Basin Models: A Case Study from the Danube-Tisza Interfluve Area in Hungary

Magnitude Estimation of Overpressure Generation Mechanisms Using Quantitative Stochastic 2D Basin Models: A Case Study from the Danube-Tisza Interfluve Area in Hungary

Guided Transformation of Abandoned Hydrocarbon Fields into Heat Storage Solutions Using Enhanced MCDA-AHP Geostatical Based Method, Hungarian Case Study

Structure of the Békés Basin Inferred from Seismic Reflection, Well and Gravity Data

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