摘要
大牛地气田为低孔、低渗油气藏,由于钻井与地质条件等因素的影响,现场录井随钻全烃值不能准确反映储集层的含气性,降低了解释评价的准确性。为此,从解决随钻全烃值不能准确反映地层含气性的角度出发,探讨了对其进行定量化处理的方法。通过随钻全烃值与对应全脱全烃值关系分析,确定了脱气效率方程,根据全脱全烃值与对应的钻井液量计算储集层地面条件下的地层含气量;根据钻时变化率反映储集层物性的特点,通过计算储集层的钻时变化率,判断储集层物性的优劣;储集层的有效厚度是决定储集层产能的重要因素之一,储集层有效厚度为储集层气显示厚度。以地层含气量、钻时变化率和储集层有效厚度作为评价参数,建立了适用于大牛地气田现场气层的初步解释评价标准,提高了现场气层解释评价水平,为大牛地气田气层解释评价研究和进行产能预测作了有益的尝试。
As is low porosity and low permeability gas reservoir in Daniudi Gasfield and the influence of the drilling and geologic conditions on it, the total hydrocarbon values in wellsite gas logging could not accurately reflect reservoir gas bearing properties, and the interpretation and evaluation accuracy was decreased. Therefore, in view of solving this problem, the author discussed the quantitative processing method. By analyzing the relationship between total hydrocarbon while drilling and corresponding total degassed hydrocarbon, the paper determined the degassing efficient equation, according to total degassed hydrocarbon and the corresponding drilling fluid volume, the formation gas bearing content in the reservoir under the surface condition could be calculated, in accordance with the reservoir physical features reflected by drilling time changes, the author judged that the reservoir physical properties could be estimated, the reservoir effective thickness was one of the important factors in determining reservoir productivity. The reservoir effective thickness was the reservoir gas showing thickness. Taking formation gas bearing contents, drilling time changing rates and reservoir effective thickness as the evaluating parameters, the paper established the initial interpretation and evaluation standard which was suitable for Daniudi Gasfield to improve the wellsite gas zone interpretation and evaluation level and provided favorable try for the gas zone interpretation and evaluation and productivity prediction.
出处
《录井工程》
2006年第B12期16-19,共4页
Mud Logging Engineering
关键词
气测录井
全烃
钻时
地层含气量
产能预测
评价标准
gas logging, total hydrocarbon, drilling time, formation gas bearing content, productivity prediction, evaluation standard