Sample size design for oil and gas reservoir core-plug experiments

Experimental data of oil and gas reservoirs are the basis of oil and gas geology research, rock geophysical evaluation and petroleum engineering calculations. However, the number of core samples is limited and the experiment costs are high, making it difficult to obtain large amounts of data, resulting in the uncertainty of reservoir evaluation. This paper presented a sample size design method for the core data of oil and gas reservoirs, and discussed some reasonable sample size design steps using a random sampling method. The effect of sample size design was analyzed combined with the experimental data. The results showed that using adjacent well data and well logging data can effectively predict sample size, reduce experiment cost and improve the application effect of experimental data. In the design of core experiments, we should pay full attention to sample design, and adopt randomized, repeated and segmented experiment design strategies, which are important for saving experiment cycles and costs and improving the reliability of core experiment data.