###### Abstract  
Hydrocarbons in self-sourced reservoirs are determined by the concentration and maturation of organic matter in sediments. As a result, lowering risk in unconventional resource research and development requires knowledge of hydrocarbon potentiality factors. The geochemical data for the Montney Formation samples studied suggest that it is a fair to good source rock with type IV kerogen that can generate gas in general. The statistical modelling of the analyzed data reveals a valuable technique for identifying characteristics, clusters, and linkages that affect source rock assessment. The Spearman's correlation coefficient showed a good positive correlation between the total organic carbon (TOC) and free hydrocarbons (S\({}_{1}\)), generating potential (S\({}_{2}\)), and potential yield (GP). There was a weak correlation with the maturity index (Tmax) and hydrogen index (HI) and a highly negative correlation between the TOC and oxygen index (OI). On the other hand, the principal component analysis (PCA) showed the presence of three factors affecting the source rock evaluation. Factor 1 included TOC, S\({}_{1}\), and S\({}_{2}\), which are related to organic richness and hydrocarbon potentiality; factor 2 contained the production index (PI), and the generated CO\({}_{2}\) (S\({}_{3}\)) was related to the organic matter source. Factor 3 included the Tmax and HI related to the type of organic matter and thermal maturity. In addition, the TwoStep cluster analysis separated the source rock in the study area into two major groups. Cluster 1 is characterized relatively by high HI, TOC, S\({}_{1}\), S\({}_{2}\), and PI, with Tmax \(<\) 455 \({}^{\circ}\)C indicating good source rock in the mature level with the capability to generate little oil and condensate gas. Cluster 2 is characterized by relatively low HI, TOC, S\({}_{1}\), S\({}_{2}\), and PI, with Tmax \(>\) 455 \({}^{\circ}\)C, indicating an over-mature source rock in the dry gas window. Montney Formation; statistical analysis; pyrolysis; source rock parameters Article  
Statistical Modelling for the Source Rock Parameters of the Montney Formation, NE British Columbia, Canada  
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The hydrocarbon potentiality of sediments is assessed by studying the sediment's ability for hydrocarbon production, the type of organic matter, what hydrocarbon output might be formed, the sediment's thermal maturity, and how it has influenced generation [9; 10]. The considerable amount of data extracted from geochemical analyses, especially in the area under study, needs an analytical statistical survey to determine the most critical parameters to rely upon in classifying and evaluating the source rocks, and thus help to make crucial decisions by reducing risks. The use of formal statistical techniques can benefit both regional resource assessment and prospect evaluation, which are major petroleum exploration activities. Due to the high cost of exploration in untested areas of potential oil production, petroleum explorers are concerned about risk factors, conditional relationships, and probability distributions. As a result, they should use more rigorous statistical procedures in their assessments and decisions. In this study, statistical modelling for the geochemical results is used to group the parameters that affect the potentiality and maturity of the Montney Formation source rock to develop accurate indices for an integrated assessment. Statistical approaches have rarely been used in previous research to process source rock data. The [PERSON]'s correlation coefficient was the primary statistical technique. Others have utilized hierarchical clustering and principal component analysis [10; 11; 12; 13]. This study aims to define the variables that influence any source rock's evaluation and uncover previously unknown correlations. For grouping the parameters, the principal component analysis (PCA) was highly effective. The Spearman correlation coefficient was then applied to determine how these categories influenced the source rock evaluation.