Abstract: To address the large errors of statistical method in the assessment of hydrocarbon resources in low-exploration area, starting from the method analysis, the resources assessment in the low-exploration area was improved with the reservoir scale sequence through repeated optimization of the parameter values and the assessment process. The results showed that there were multiple parameters involved in the prediction with reservoir scale sequence method; the prediction results were affected by the change rate k_sequence of reservoir scale, the truncation of possible maximum reservoir scale Q_max-cut and the truncation of possible minimum reservoir scale Q_min-cut, with multiplicity of solutions; the method was simple and easy to operate, and the reliability of resource assessment results could be effectively improved with reasonable assessment ideas and values. This study accumulates experience for similar practice but also provides a basis for future exploration, deployment and planning in the study area.

Key words: hydrocarbon resource evaluation, reservoir scale sequence method, parameter sensitivity, parameter choice, area of lower exploration degree