The Classifying and Modeling of Reservoir Rock Types in the Development Planning Stage of an Undeveloped Oilfield

Abstract

The H oilfield is currently in the development planning stage. There were two problems that were to be resolved during the study. First, there is no clear relationship between porosity and permeability; if using single relationship to calculate permeability, then strong heterogeneity of the reservoir will be concealed, and the development plan will be affected. Second, how is it possible to classify reservoir rock type on wells and in 3D models? Through analysis of core and laboratory data, rock types are divided into four categories, and each type gets a good porosity-permeability relationship, the formula of each type has been calculated the permeability. For the purpose of reservoir classification on wells and in 3D model, the cutoffs of electrical logs and petrophysical properties were analyzed. Vshale and DEN were used to divide reservoir on wells, and FZI and pore throat radius were used to divide reservoir in 3D model. In the end reservoir is in quantitative characterization.

Seasonal Variation of Methane Microseepage in the Dawanqi Oilfield (China): A Possible Climatic Control

“…Discontinuous aquifers occur at a depth >4.2 m. The geology of the Dawanqi oilfield was described in detail in previous papers (e.g., Tang et al., 2017). Here, we highlight that the area is highly faulted and fractured (dominated by the Tuzimazha fault system), hydrocarbon reservoirs are relatively shallow (170–700 m) in Quaternary to Neogene sandstones, while oil and gas are generated in Triassic and Jurassic coal‐bearing formations (Kuang & Jin, 2005; Kuang et al., 2003; Yang et al., 2006; Zhao et al., 2003). Gas reservoirs have at least 89 vol % of thermogenic CH 4 (δ 13 C: −18‰ to −38‰ Vienna Pee Dee Belemnite (VPDB)), with C 2+ alkanes (8 vol %), N 2 (2 vol %) and CO 2 (0.5 vol %) (Wang et al., 2012).…”