Work

Mechanistic controls on permeability evolution in thermally-upgraded low-maturity oil shales: Application of machine learning outputs

Year: 2024

Type: article

Abstract: In-situ thermal upgrading aids recovery from low-maturity oil shales where low permeability is the rate-limiting feature. We use machine leaning classified pore and pore network morphological descriptions recovered at elevated temperatures to define the dynamic thermal evolution of permeability. These descriptions define key factors influencing permeability evolution, in particular the development of anisotropy and its implication for recovery. Heating enhances permeability by increasing both the number and total cross-sectional area (SEM) of pores. Fractal dimensions indicate that the pore microstructure is anisotropic in the bedding-parallel and bedding-perpendicular directions and is upgraded by elevated temperature. The permeability anisotropy endures throughout the entire heating process and fluctuates at elevated temperature, quantified by the index called anisotropic coefficient of permeability. A newly proposed “aggregation degree” indexes the relative contribution of minority pores to overall permeability – 50 % of the permeability ( K) is sourced from <8 % pores in the SEM section. Increased temperature elicits increased permeability – thus, the temperature applied at the injection well defines the flow limiting permeability threshold at the production wells and thus controls flow rates from the entire heated reservoir. This work provides fresh insights in defining the thermal permeability response of low-maturity oil shales and guides fluids recovery. • Evolving permeability of clay-rich oil shale is defined at in-situ elevated temperatures. • Parameters of porous structures controlling on permeability evolution were investigated. • Development of permeability anisotropy and its implication for recovery are clarified. • A new index quantifies the contribution of minority pores to overall permeability.

Source: Unconventional Resources

DOI: 10.1016/j.uncres.2024.100133

Authors: Bo He, Lingzhi Xie, Xin Liu, Jun Liu, Derek Elsworth

Institutions: Sichuan University, Pennsylvania State University

Language: English

Topic: Hydrocarbon exploration and reservoir analysis

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

Funders: National Natural Science Foundation of China, Natural Science Foundation of Chongqing, National Key Research and Development Program of China

Awards: G1867471341, G2927006853, G4886352934