CypherCrescent SEPAL Solver
SEPAL Solver is an indigenous mathematical engine by CypherCrescent that enables advanced modelling, simulation, and optimisation across engineering and scientific domains.
Background and History
The SEPAL Solver is a proprietary mathematical computation engine developed by CypherCrescent Limited, a technology innovation company committed to enhancing oil and gas asset performance through advanced analytics. Its development began in 2012 as a core component of SEPAL, the company’s flagship software platform.
Originally designed to support integrated petrophysical and reservoir engineering workflows, the SEPAL Solver was developed to overcome the limitations of conventional reservoir modelling tools by offering a more flexible, scalable, and robust solution to complex engineering challenges. Since its inception, the Solver has evolved into a powerful mathematical library capable of addressing a wide range of computational problems, not only within the petroleum industry but also in other domains requiring sophisticated mathematical modelling.
Its continued development reflects CypherCrescent’s dedication to indigenous, world-class technology innovation that promotes data-driven decision-making, reduces reliance on imported software solutions, and builds local technical capacity across industries.
Aims and Objectives
The primary aim of the SEPAL Solver is to deliver a robust, adaptable, and efficient platform for solving mathematical problems across scientific and engineering disciplines. Its key objectives include:
- Modelling and solving complex mathematical problems related to reservoir characterisation, production optimisation, and system simulation within the oil and gas sector.
- Enabling multidisciplinary applicability, extending its use to fields such as civil, mechanical, and electrical engineering, environmental science, and finance.
- Promoting indigenous technology by offering a locally developed alternative to foreign proprietary mathematical engines.
- Supporting innovation and research within academia and research institutions by facilitating access to advanced mathematical modelling tools.
Core computational capabilities
- Numerical linear algebra for solving systems of equations
- Solvers for differential equations and up to index-2 differential-algebraic equations
- Optimisation algorithms (linear, non-linear, constrained, and unconstrained)
- Statistical modelling and uncertainty analysis
- Numerical modelling and parameter response sensitivity analysis
- Dynamic simulation of physical systems and time-series forecasting
Although extensively utilised in upstream oil and gas workflows such as well performance analysis, reservoir simulation, and production forecasting, SEPAL Solver is inherently general purpose. It can be embedded into third-party applications or used independently via .NET C# scripting interfaces, enabling wider use across technical disciplines.
KEY FEATURES
High-performance computing
Advanced algorithms deliver rapid and accurate solutions, even for large-scale simulation problems
Cross-domain versatility
Applicable to a wide range of fields including energy, transport, finance, environmental modelling, and healthcare
Modular integration
Easily incorporated into existing software platforms and simulation environments
Scalable design
Suitable for both desktop deployment and high-performance computing environments
Benefits to society
The primary aim of the SEPAL Solver is to deliver a robust, adaptable, and efficient platform for solving mathematical problems across scientific and engineering disciplines. Its key objectives include:
- Indigenous Technology Advancement:As a homegrown innovation, the Solver promotes self-reliance and supports the growth of local technology ecosystems.
- Improved Decision-Making:Enhanced simulation and forecasting capabilities enable data-driven decision-making in key sectors such as energy, infrastructure, and environmental management.
- Capacity Development:Through academic partnerships, CypherCrescent provides students and researchers with access to the Solver, equipping them with modern computational skills.
- Cross-sectoral Innovation:Its adaptable design fosters innovation across multiple industries beyond oil and gas, wherever mathematical modelling is vital.
- Economic Growth:By reducing operational inefficiencies and lowering costs, the Solver enhances productivity and supports broader national development goals.
The SEPAL Solver is more than just a component of a software suite, it is a versatile, indigenous, and high-performance mathematical engine that empowers both industry and academia. It exemplifies African innovation and demonstrates the continent's potential to tackle complex, real-world challenges with solutions that are globally competitive
