# tenokonda.com > AI-optimized mirror of tenokonda.com containing 50 pages totalling 23,511 words of clean markdown content, structured data, and semantic HTML. Original source: https://tenokonda.com/. Last updated: 2026-06-12T11:40:46.566Z. Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG). ## Homepage - [Next Generation Risk Systems](/content/site-root.html): Tenokonda ofers the next generation of risk systems software that is used to build risk models, run simulations and analyse results in the finance and engineer sectors. (66 words) ## Articles & Blog Posts - [TKRISK Inference Module](/content/products/tkrisk/modules/inference/index.html): Uncover hidden insights and make data-driven decisions with powerful probabilistic inference (486 words) - [TKRISK Graph Theory Module](/content/products/tkrisk/modules/graph_theory/index.html): Unlock powerful insights from your probabilistic models through advanced graph analysis (511 words) - [resources/transform-excel-model-silos-into-actionable-enterprise-knowledge.html](/content/resources/transform-excel-model-silos-into-actionable-enterprise-knowledge.html) (1 words) - [resources/probabilistic-graphical-model-for-student-loan-repayments.html](/content/resources/probabilistic-graphical-model-for-student-loan-repayments.html) (1 words) - [resources/probabilistic-credit-risk/index.html](/content/resources/probabilistic-credit-risk/index.html) (1 words) - [resources/bayesian-network-representation-of-joint-normal-distributions-confounding-variables-model.html](/content/resources/bayesian-network-representation-of-joint-normal-distributions-confounding-variables-model.html) (1 words) - [resources/bayesian-network-representation-of-joint-normal-distributions-cascading-regressions-model.html](/content/resources/bayesian-network-representation-of-joint-normal-distributions-cascading-regressions-model.html) (1 words) - [resources/how-water-is-the-main-driver-of-oilfields-greenhouse-gases-emissions.html](/content/resources/how-water-is-the-main-driver-of-oilfields-greenhouse-gases-emissions.html) (1 words) - [resources/building-a-life-cycle-assessment-model-using-bayesian-networks.html](/content/resources/building-a-life-cycle-assessment-model-using-bayesian-networks.html) (1 words) - [resources/building-a-carbon-sequestration-fiscal-model-using-bayesian-networks.html](/content/resources/building-a-carbon-sequestration-fiscal-model-using-bayesian-networks.html) (1 words) - [COVID-19 Vaccine Response - III](/content/resources/covid-19-vaccine-response-part-3/index.html) (981 words) - [Managing Supply Chain Risk for Critical Minerals Using Probabilistic Graphical Models](/content/resources/pgm-supply-chain-risk-report/index.html): Pricing SLBs involves a new risk component, that of SPT default. The latter is to be modelled on top of the issuer’s credit default risk. PGMs provide a simple yet powerful means to model jointly credit and SPT default for SLBs pricing and risk modelling and in particular the validation of SPT default probability estimator. (666 words) - [products/latest_features/index.html](/content/products/latest_features/index.html) (1 words) - [examples/index.html](/content/examples/index.html) (1 words) - [Pressure Build-Up - II](/content/resources/pressure-build-up-part-2/index.html): In the second part of the pressure build up analysis, we focus on multi-phase effects. We see how the injection of CO2 over time leads to the formation of a "cushion" zone that absorbs part of the pressure build-up. This leads to important update in the prediction of pressure evolution at various locations through time. Pressure build-up monitoring is very important as it may trigger breach of containment, leaks to other formations or fault/fractures activation. We show how TKRISK can be used to model the propagation of pressure pulses around injection sites. (171 words) - [Sustainability Linked Bonds Pricing](/content/resources/sustainability-linked-bonds-pricing/index.html): Pricing SLBs involves a new risk component, that of SPT default. The latter is to be modelled on top of the issuer’s credit default risk. PGMs provide a simple yet powerful means to model jointly credit and SPT default for SLBs pricing and risk modelling and in particular the validation of SPT default probability estimator. (372 words) - [TKRISK Graph Creation Module](/content/products/tkrisk/modules/graph_creation/index.html): Design and build sophisticated probabilistic graph models with unparalleled precision and flexibility (392 words) - [Plume Migration - II](/content/resources/plume-migration-part-2/index.html): We review how we can model the average saturation behind the front of CO2. In instances where the relationship between input and output is too complex or simply does not exist, we can use calibration methods to "tune" a model. TKRISK continuous nodes allow such approach. In the example of the average saturation in the plume, the theory of hyperbolic systems of conservation laws governs the displacement mechanism and hence the property of interest. (432 words) - [Land Capacity - II](/content/resources/land-capacity-part-2/index.html): We demonstrate here how to update a model based on acquired knowledge. We refine our initial model based on prior knowledge. We show how easily information collected in news publications about cases numbers and vaccine efficacy can be integrated in the model. We show how this added information helps improve our original estimations on the probability of being infected. We also review how we can set specific nodes values and obtain the probability of being infected if vaccinated or not. This option allows to test scenarios. (615 words) - [Plume Migration - I](/content/resources/plume-migration-part-1/index.html): We quantify the evolution of the CO2 plume during the injection process. We use TKRISK to model the displacement of original fluids (brine, hydrocarbon) in the geological formation with injected CO2. We are able to quickly build a simple radial flow model of the injection process and propagate key uncertainties (average porosity, injection rate as an example) to model the radius of the CO2 plume as a function of time. (346 words) - [COVID-19 Vaccine Response - I](/content/resources/covid-19-vaccine-response-part-1/index.html): We demonstrate how one can use TKRISK to analyze vaccine response to COVID-19. We create a simple model of contamination and show how vaccine and exposition can jointly affect the probability of being infected. (524 words) - [COVID-19 Vaccine Response - II](/content/resources/covid-19-vaccine-response-part-2/index.html) (616 words) - [Land Capacity - I](/content/resources/land-capacity-part-1/index.html): TKRISK can be used to quantify the risk associated with carbon sequestration in geologic formations. The evaluation of underground storage capacity is essential to addressing liability questions such as the purchase of the mineral rights (or pore space) under the land area that may be impacted by sequestration activities. (626 words) - [Pressure Build-Up - I](/content/resources/pressure-build-up-part-1/index.html): We review here the pressure build up in a reservoir under injection. This is one of the major risks in CCS projects as it deals with the integrity of the caprock (ensuring containment of the CO2) along with the potential leak of CO2 to shallower formations or to the surface. We start from the models previously built (for reservoir capacity and plume migration) and encode the pressure build up equation in the incompressible region of the reservoir. (142 words) - [500 - Server-side error occurred](/content/resources/resourceid/index.html) (5 words) - [On the generation of direction numbers for Sobol sequences and their application to Quasi Monte Carlo methods](/content/resources/on-the-generation-of-direction-numbers-for-sobol-sequences-and-their-application-to-quasi-monte-carlo-methods.html): null (12,284 words) - [Decision Making Under Uncertainty - I](/content/resources/decision-part-1/index.html): How does discovering that one site is suitable impacts the probability that a second site is suitable? This correlation between the two sites can be intuitively modeled using TKRISK. PGMs provide an intuitive framework for reasoning in terms of decision making under uncertainty. We define three major risks associated with land area, plume migration and pressure build-up. (198 words) - [Decision Making Under Uncertainty - III](/content/resources/decision-part-3/index.html): We complete here the decision analysis part by measuring the anticipated impact of each action we can take on the field. We explore a scenario where we have a limited set of decisions we could take (drilling, acquiring more data, abandoning) and based on our calibrated model, we can compute not only the probability of various outcomes for each decision, but also the updated probabilities on connected nodes. (173 words) - [Decision Making Under Uncertainty - II](/content/resources/decision-part-2/index.html): We focus here on evidence propagation and Value of Information (VoI). Information is typically acquired to reduce risk. It comes at a cost and the question is: Is the cost incurred worth the gain for a specific project? In the case of CCS, information that would help determining with more certainty that a site is fit (or not) for injection would be the injectivity and pore space. (218 words) - [Founders](/content/about_us/company/team/index.html): Adrien Papaioannou, Cedric Fraces and Denis Papaioannou the cofounders of Tenokonda have created TKRISK, a powerfull risk software based on bayesian networks. (449 words) - [TKRISK: Model. Compute. Analyze.](/content/products/tkrisk/index.html): Empower your risk management with our advanced probabilistic graph application. (599 words) - [Contact Support](/content/support/index.html): Tenokonda technical support is available for license creation and modification and bug related issues. (69 words) - [Careers at Tenokonda](/content/about_us/careers/index.html): Tenokonda currently offers various jobs for people who are passionate about cutting-edge technologies. (346 words) - [About Tenokonda](/content/about_us/company/index.html): Tenokonda is a pioneering risk intelligence software company that leverages cutting-edge technology to empower businesses with high-quality risk models and data-driven decision-making capabilities. (370 words) - [Tenokonda Account](/content/tkrisk/scenario-generation-trial/index.html) (23 words) - [Research papers](/content/publications/index.html) (204 words) - [Submit a Support Request](/content/about_us/contact_us/contact_support/index.html) (33 words) - [Try TKRISK](/content/products/tkrisk/trial/index.html): Get a trial of TKRISK for 30 days to quantify and assess the impact of your top risk factors. (58 words) - [Get TKRISK](/content/products/tkrisk/get/index.html): Bayesian Belief Networks allow integration of expert knowledge along with data, the modeling of causality relationship between variables which make models transparent and interpretable. (60 words) - [Pricing and Licensing](/content/about_us/pricing_licensing/index.html): Select the license that best suits your needs and buy it or request a quote. (89 words) - [Tenokonda Account](/content/tkrisk/scenario-analysis/index.html) (23 words) - [Page not found.](/content/products/tkrisk/modules/moduleid/index.html) (54 words) - [Analyze](/content/about_us/contact_us/req_quotes/index.html) (25 words) - [Tenokonda® - Bayesian Risk Systems - TKRISK](/content/about_us/contact_us/req_quotes/licenseid/index.html) (1 words) - [Tenokonda Account](/content/tkrisk/scenario-generation/index.html) (23 words) - [Cookies Policy](/content/cookies/index.html) (1,184 words) - [Submit a Sales Request](/content/about_us/contact_us/contact_sales/index.html) (43 words) - [Tenokonda Account](/content/about_us/contact_us/request/index.html) (23 words) - [sitemap-xml.html](/content/sitemap-xml.html) (1 words) ## Resources - [Full Page Index](/index.html): Browse all cached pages with rich metadata - [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines - [XML Sitemap](/sitemap.xml): Machine-readable sitemap for crawler discovery - [Robots.txt](/robots.txt): Crawler directives