ABSTRACT

The natural gas resources in deep water of the South China Sea are very rich. Gas wells in deep water environment, because the upper seawater replaces the sedimentary stratum, which reduces the compaction strength of the subsea stratum, resulting in loose reservoirs and a higher risk of sand production. In this paper, the LS17-X deep water gas field is used as the target area. Based on the investigation of the deep water sand control method at home and abroad, the formation strength, mud content, reservoir size, and clay mineral components of the LS17-X gas field are comprehensively collected. The collected data were used to predict and evaluate the sand production possibility and critical production pressure difference in the early and during the exploitation of the gas field, and the cores of the gas field were selected for the sand production critical flow velocity test experiments. At the same time, a sand control scheme suitable for LS17-X gas field was recommended.

1. INTRODUCTION

The oil and gas resources in the South China Sea are very rich, accounting for about 30.33% of the country's total oil and gas resources, of which the amount of deep water resources in the South China Sea accounts for about 70% of the amount of oil and gas resources in the South China Sea (Weingarten et al., 1995). Deep water testing is a key part of deep water oil and gas exploration. The overlying rocks of deep water gas wells are replaced by lighter density water, which weakens the formation compaction and reduces the strength of rocks, resulting in loose reservoirs and increased sand production risks (Al-Awad et al., 1999). At the same time, because the production of deep water wells is usually large, once the sand is produced, it will seriously affect the safety of the operation. Therefore, it is of great significance to ensure the safety of deep water testing by accurately predicting the risk of sand production in deep water gas wells and designing reasonable sand control schemes. LS17-X-1 is the first self-operating well in China to carry out deep water well testing (Papamichos et al., 2001). The effective application of sand production prediction and sand control optimization design technology has provided a guarantee for the test operation of this well. With the promotion of deep water oil and gas exploration in China, the value of this research will become increasingly prominent.

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