Decoding the Geomechanical Memory of Deep Shales: Decoupling Extreme 3D Stress and Overpressure for Unconventional Engineering
Abstract
1. Introduction
2. Geomechanical Setting
3. Poro-Elastoplastic Constitutive Framework and Mathematical Formulation
3.1. Stress Paths and Poro-Mechanical Boundary Conditions
3.2. Mathematical Formulation
4. Results
4.1. Determination of Poro-Elastoplastic Material Parameters
4.2. Quantitative Prediction of Pore Pressure and Overpressure Partitions
4.3. Reconstructed 3D Stress Tensor and Effective Stress State at Failure
5. Discussion
5.1. Quantitative Comparison with Alternative Stress and Pressure Evaluation Models
- (1)
- Comparison with Eaton-type Empirical Formulations
- (2)
- Alignment with Basin Modeling in Convergent Margins
- (3)
- In situ Verification via Drilling-induced Failures and LOT Measurements
5.2. Poro-Mechanical Evolution Path During Uplift and Exhumation
5.3. Quantitative Decoupling of Overpressure: Vertical Compaction vs. Tectonic Compression
5.4. The Rheological Influence of Internal Friction Angle (Φ)
5.5. Limitations, Boundary Conditions, and Future Directions
- (1)
- Thermodynamic and Stress Thresholds: The analogy between lithified mudstones and critical-state soils requires specific high-stress boundary conditions. Our triaxial experiments confirm that diagenetic cementation dictates brittle behavior at shallow depths. The continuous plastic flow and volumetric yielding essential for the MCC framework are exclusively activated when the confining pressure exceeds 140 MPa. Thus, the model is strictly applicable to ultra-deep regimes (>6000 m), where extreme lithostatic stresses and elevated temperatures (>140 °C) overcome shallow-level brittleness, forcing the matrix into a ductile, strain-hardening state. Future extensions should couple this framework with thermo-hydro-mechanical (THM) formulations to explicitly model temperature-dependent evolution of MCC parameters under extreme geothermal gradients (>140 °C), as conceptualized by Casey et al. (2016) [20].
- (2)
- Constant Elastoplastic Parameters: The current formulation assumes a constant compression index (λ) and friction angle (ϕ). Contemporary geomechanics recognizes stress-dependent degradation of these parameters under extreme confinement [39,40]. While adopting constant values represents a first-order mechanical simplification, future improvements will incorporate non-linear degradation laws (e.g., Fjaer et al., 2008 [39]; Casey, 2014 [40]) to capture continuous rock matrix damage. Nevertheless, current sensitivity analyses confirm that the constant-parameter assumption successfully captures fundamental macro-yielding trends without obscuring the dominant tectonic mechanism.
- (3)
- Negligible Elastic Rebound (κ ≪ λ): Treating the mudstone matrix as undergoing irreversible plastic compaction during exhumation implies neglecting the poro-elastic swelling index (κ). For deeply buried, highly overconsolidated mudstones,κ is typically an order of magnitude smaller than λ. Hence, the porosity expansion driven by elastic relaxation during uplift is mathematically insignificant compared to the primary tectonic plastic contraction. To rigorously validate the calculated stresses (especially σh), integrating core-based Anelastic Strain Recovery (ASR) measurements and image log breakout widths will be an essential validation protocol in future field applications.
- (4)
- Static Peak Pressure vs. Transient Dynamics: Finally, the model analytically resolves the peak fluid pressure (Pc) immediately preceding macroscopic Coulomb failure. It does not account for transient, post-failure hydro-mechanical behavior, such as rapid pressure bleed-off induced by fault-rupture permeability surges (fault-valve mechanisms) [41]. Future research extending this framework to incorporate fault-valve dynamic models (e.g., Wang et al., 2024 [41]) and time-dependent creep will further refine the temporal prediction of geopressure evolution.
5.6. Engineering Implications and Present-Day Applications
- (1)
- Optimization of Ultra-deep Drilling Safety and Wellbore Stability
- (2)
- Hydraulic Fracturing and Deep Reservoir Stimulation
- (3)
- Long-term Integrity of Caprocks for Geo-Energy Storage
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Nomenclature
| CFP | Coulomb failure period |
| MBP | maximum burial period |
| MCC | Modified Cam-Clay model |
| KTB | Kelasu Thrust Belt |
| Pd | current pore fluid pressure |
| Pc | pore fluid pressure of Coulomb failure period |
| Pm | pore fluid pressure of maximum burial period |
| Ps | pore fluid overpressure induced by average stress of Coulomb failure period |
| Pt | pore fluid overpressure induced by shear stress of Coulomb failure period |
| ud | current pore fluid overpressure |
| uc | pore fluid overpressure of Coulomb failure period |
| us | pore fluid overpressure induced by average stress of Coulomb failure period |
| ut | pore fluid overpressure induced by shear stress of Coulomb failure period |
| S | average stress |
| S′ | average effective stress |
| t | maximum shear stress |
| σ′v | vertical effective stress of Coulomb failure period |
| σ′H | maximum horizontal effective stress of Coulomb failure period |
| σ′h | minimum horizontal effective stress of Coulomb failure period |
| σv-present | current vertical stress |
| σ′v-present | current vertical effective stress |
| σ′1 | the maximum effective stress |
| σ′3 | the minimum effective stress |
| ψ | sediment porosity |
| e | void ratio |
| e0 | sediment initial void ratio |
| eλiso | the initial void ratio of isotropic compaction path |
| M | the slope of the critical shape of yield surface |
| λ | the slope represented by compaction line |
| φ | angle of internal friction of mudstone |
| K | the slope of an arbitrary line in s’-t space |
| Kv | stress ratio in vertical compaction |
| KC | the stress ratio when soil element reaches the Coulomb failure |
Appendix A
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Wang, G.; Fan, C.; Wang, Z.; Yang, H. Decoding the Geomechanical Memory of Deep Shales: Decoupling Extreme 3D Stress and Overpressure for Unconventional Engineering. Geosciences 2026, 16, 276. https://doi.org/10.3390/geosciences16070276
Wang G, Fan C, Wang Z, Yang H. Decoding the Geomechanical Memory of Deep Shales: Decoupling Extreme 3D Stress and Overpressure for Unconventional Engineering. Geosciences. 2026; 16(7):276. https://doi.org/10.3390/geosciences16070276
Chicago/Turabian StyleWang, Gang, Changyu Fan, Zhenliang Wang, and Haijun Yang. 2026. "Decoding the Geomechanical Memory of Deep Shales: Decoupling Extreme 3D Stress and Overpressure for Unconventional Engineering" Geosciences 16, no. 7: 276. https://doi.org/10.3390/geosciences16070276
APA StyleWang, G., Fan, C., Wang, Z., & Yang, H. (2026). Decoding the Geomechanical Memory of Deep Shales: Decoupling Extreme 3D Stress and Overpressure for Unconventional Engineering. Geosciences, 16(7), 276. https://doi.org/10.3390/geosciences16070276
