Reinterpreting the Low-resistivity Reservoir by Using New Logging Model: A Case Study from a Block in Sulige Tight Gas Field

Author:

Gai Shaohua1,Liu Huiqing1,He Shunli1,Mo Shaoyuan1,Lei Gang1,Huang Xing1,Yang Yang1,Liu Ruohan2

Affiliation:

1. China University of Petroleum

2. China University of Geosciences

Abstract

Abstract Sulige gas field is the largest discovered gas field so far in China. The pay zone is He8 and Shan1 formation of lower-Permian. The well logging faces the challenges of the thin bed, tight sand and strong lateral heterogeneities, which seriously affected the ability of the well logging data to identify and evaluate gas reservoir. The purpose of this paper is to build up some more accurate models to identify gas layer, water layer, gas and water mixed layer. In this study, the pretreatment have to be done, such as environmental correction, core reposition and well log normalization and so on. Through integrated core, log, test data, models is builded up by using the cross plot multiple regression analysis, including shale content, porosity, permeability, water saturation, etc. The data indicate that the accuracy of the model is 92%.We find that the shale content has a great influence on the porosity model in the block. The characteristic of the gas layer is decreased resistance invasion, and the water layer is increased resistance invasion. Moreover,47 new gas layers are found from 155 wells, and the total increased net pay thickness is 84.5 m. The results accord with the facts basically. By using the results, it can not only optimize the subsequent well logging interpretation design, but also provide the important reservoir information for the researchers of well test and reserves estimation. It is significant to evaluate the subsequent production and allocate reasonable production capacity. Furthermore, it may avoid unnecessary yield loss.

Publisher

SPE

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