苏里格气田盒8段地震储层预测技术研究
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摘要
苏里格气田是中国迄今为止发现的最大气田,主力储层盒8段埋藏深(约3200-3600m),为砂泥岩地层,储层薄(厚度15-35m),是一个以河流砂体为主体储层的大面积分布的岩性气藏,由于储层薄、非均质性强,同时局部含水,地震储层预测面临很大挑战。
本文系统的研究了针对苏里格气田盒8储层的地震预测技术系列,根据资料条件采用纵波叠后储层预测技术、纵波叠前储层预测技术或多波联合储层预测技术,制定了从主河道带预测、砂体厚度预测到含气储层预测、流体识别的逐层深入的预测思路。
应用波形分析、叠后波阻抗反演以及含烃检测技术为主的叠后储层预测技术对砂体厚度做了预测,划分了主河道带的展布。
针对该区主要目的层段的地质条件,利用全波列测井数据,进行了详细的地震岩石物理分析,优选出了该区的岩性敏感因子及流体敏感因子；优选了该区有利的AVO属性；针对气水识别的难题,提出了敏感角度弹性阻抗反演的方法。根据资料条件选用基于部分叠加数据的弹性参数反演和基于叠前道集的弹性参数反演方法；建立了纵波叠前储层预测技术流程。
常规纵波资料在岩性和流体预测方面存在局限,多波勘探技术因增加了横波信息,有效的提高了岩性气藏勘探的精度。利用实测数据系统、定量地分析了转换波AVO特点,探讨了转换波和岩性及流体的关系；从理论模型和实际资料两方面详细对比了各种反演方法的特点。综合应用多波属性、多波联合反演技术进一步提高储层和流体预测精度,。
综合应用纵波、多波技术优选了钻探目标、评价了有利区,实钻结果表明该技术在苏里格地区取得了良好的地质效果。
In this paper, the largest gas filed in China, Sulige has been studied. The main gas reservoir, known as He8formation, is located between3200and3600m in depth and is interbedded with sand and shale. Because the reservoir is thin (15-35m), strongly anisotropic and water bearing in partial area, it is a great challenge for seismic characterization.
Integrated techniques of seismic characterization for He8formation has been researched in this paper. The poststack, prestack and multicomponent seismic technique of seismic characterization is selected according to the quality of seismic data. The workflow of seismic prediction for main channel, lithology and fluid is set up.
The poststack techniques of waveform analysis, poststack seismic impedance inversion and DHI have been applied for prediction of main channels.
Aiming at the geological conditions, the sensitive factors for lithlogy and fluids have been selected through detailed seismic rock physics analysis of full wave logging data. The effective AVO attributes has been selected. The sensitive elastic impedance invertion has been proposed for water and gas identification. The elastic invertion based on partial stacks or prestack gathers has been applied due to data conditions. The workflow for prestack seismic characterization has been set up.
Conventional one-component P wave exploration has difficulty differentiating lithology and identifying subsurface fluids, However, the accuracy of the integration of both PP and PS data can be improved by using the multicomponent (MC) method. The AVO of PS data has been thoroughly studied. The integrated techniques of MC seismic attributes analysis, joint invertion of PP&PS have been applied to enhance the prediction.
The integrated techniques of P-wave and MC data have been applied in Sulige gas field and have been supported with real data.
本文系统的研究了针对苏里格气田盒8储层的地震预测技术系列,根据资料条件采用纵波叠后储层预测技术、纵波叠前储层预测技术或多波联合储层预测技术,制定了从主河道带预测、砂体厚度预测到含气储层预测、流体识别的逐层深入的预测思路。
应用波形分析、叠后波阻抗反演以及含烃检测技术为主的叠后储层预测技术对砂体厚度做了预测,划分了主河道带的展布。
针对该区主要目的层段的地质条件,利用全波列测井数据,进行了详细的地震岩石物理分析,优选出了该区的岩性敏感因子及流体敏感因子；优选了该区有利的AVO属性；针对气水识别的难题,提出了敏感角度弹性阻抗反演的方法。根据资料条件选用基于部分叠加数据的弹性参数反演和基于叠前道集的弹性参数反演方法；建立了纵波叠前储层预测技术流程。
常规纵波资料在岩性和流体预测方面存在局限,多波勘探技术因增加了横波信息,有效的提高了岩性气藏勘探的精度。利用实测数据系统、定量地分析了转换波AVO特点,探讨了转换波和岩性及流体的关系；从理论模型和实际资料两方面详细对比了各种反演方法的特点。综合应用多波属性、多波联合反演技术进一步提高储层和流体预测精度,。
综合应用纵波、多波技术优选了钻探目标、评价了有利区,实钻结果表明该技术在苏里格地区取得了良好的地质效果。
In this paper, the largest gas filed in China, Sulige has been studied. The main gas reservoir, known as He8formation, is located between3200and3600m in depth and is interbedded with sand and shale. Because the reservoir is thin (15-35m), strongly anisotropic and water bearing in partial area, it is a great challenge for seismic characterization.
Integrated techniques of seismic characterization for He8formation has been researched in this paper. The poststack, prestack and multicomponent seismic technique of seismic characterization is selected according to the quality of seismic data. The workflow of seismic prediction for main channel, lithology and fluid is set up.
The poststack techniques of waveform analysis, poststack seismic impedance inversion and DHI have been applied for prediction of main channels.
Aiming at the geological conditions, the sensitive factors for lithlogy and fluids have been selected through detailed seismic rock physics analysis of full wave logging data. The effective AVO attributes has been selected. The sensitive elastic impedance invertion has been proposed for water and gas identification. The elastic invertion based on partial stacks or prestack gathers has been applied due to data conditions. The workflow for prestack seismic characterization has been set up.
Conventional one-component P wave exploration has difficulty differentiating lithology and identifying subsurface fluids, However, the accuracy of the integration of both PP and PS data can be improved by using the multicomponent (MC) method. The AVO of PS data has been thoroughly studied. The integrated techniques of MC seismic attributes analysis, joint invertion of PP&PS have been applied to enhance the prediction.
The integrated techniques of P-wave and MC data have been applied in Sulige gas field and have been supported with real data.
引文
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