【摘要】 PY气田位于番禺低隆起白云凹陷北坡断裂坡折带上,地质条件复杂,砂岩储层的含气性预测难度极大。为此,探究了由AVO技术、AFI流体成分反演技术及神经网络多属性反演技术组成的综合预测技术,以期有效摒除单一技术在含油气性预测过程中不尽客观的现象。首先是以AVO技术初步确定含气区,再结合AFI技术和神经网络多属性反演技术确定最终的有利含气区。该综合预测技术的应用有助于指导该区下一步天然气勘探,提高勘探成功率。更多还原

【Abstract】 The PY gas field is situated on the fault slope breaks in the north slope of Baiyun Sag of Panyu low uplift,with complex geological conditions and extremely big difficulties in gas potential prediction of water-bearing sandstone reservoirs.Therefore,an in-depth investigation is made on an integrated prediction technology composed of the AVO technique,the AFI fluid component inversion,and neural network multi-attribute inversion,with the purpose of avoiding a single technique’s bias and errors in hydrocarbon potential forecast.First,gas-bearing zones are determined by the AVO technique,then in combination with the AFI fluid component inversion and neural network multi-attribute inversion,the favorable gas areas are finally confirmed.The application of this integrated application technology will help guide the further gas exploration in this field and improve the exploration ratio.更多还原