常规测井气测资料在H油田K油藏碳酸盐岩储层流体识别中的应用

K油藏是中东伊拉克H油田重要的油气产层, 储层裂缝基本不发育, 储集空间主要为基质孔隙和溶孔, 渗透率极差范围大, 孔渗相关性较差。储层厚度大, 层间非均质性极强, 使得仅依靠常规测井资料和传统的测井评价方法来评价该区域碳酸盐岩储层流体性质识别效果差, 针对该问题, 进行H油田K油藏流体识别研究。通过分析常规测井资料发现, 深浅电阻率比值可以较好地划分水和烃类。在分析总结气测全烃曲线的形态特征及所对应的储层流体性质基础上, 发现气测曲线对于不同流体性质形态差异明显, 因此考虑利用气测曲线进行水和烃类进一步划分。统计发现重烃比值和烃气密度指数可以较好划分油水同层和水层, 为了定量表征识别过程建立水层-油水同层气测曲线识别法(ECR1), ECR1大于0为油水同层, 反之为水层。以烃气湿度指数、轻烃比值、挖掘效应可以较好划分气层和油层, 以此为基础建立气层-油层气测曲线识别法(ECR2), ECR2大于0为气层, 反之为油层。以该模型对H油田K油藏13口井38个小层的应用表明, 其识别符合率达到81.58%, 识别精确度高, 能满足研究区实际需要。通过建立的气测曲线识别法(ECR)模型, 在H油田K油藏取得较好应用效果, 可为本区块后续勘探开发具有一定借鉴意义, 同时也可以为国内外类似碳酸盐岩储层流体识别提供参考。 

Application of conventional logging and gas logging data to fluid identification of carbonate reservoirs in K reservoir of H Oilfield

K reservoir is an important oil and gas producing layer of H oilfield in the Middle East, Iraq. The reservoir space is mainly matrix pores and dissolved pores, with a wide range of permeability and poor correlation between porosity and permeability. The reservoir thickness is large, and the stratigraphic heterogeneity is very strong; therefore, it is poor quality to identify carbonate reservoir fluid properties only relying on conventional logging data and traditional logging evaluation methods. Aiming at this problem, the fluid identification work of K reservoirin H oilfield was carried out. By analyzing conventional logging data, it is found that the ratio of deep to shallow resistivity can better distinguish water from hydrocarbon. Based on analyzing morphological characteristics of the total hydrocarbon curve and corresponding reservoir fluid properties, it is found that the gas curve has obvious differences in the morphology of different fluid properties, so it is considered to further classify water and hydrocarbon by using gas curve. It is found that the ratio of heavy hydrocarbon tohydrocarbon gas density index can better classify oil-water layer and water layer. In order to quantitatively characterize the identification process, the identification method of water-oil-water layer gas measurement curve (ECR1) is established. ECR1 greater than 0 is oil-water layer, otherwise, it is water layer. Based on gas wet index, light hydrocarbon ratio and excavation effect, the identification method of gas-reservoir gas measurement curve (ECR2) is established. ECR2 higher than 0 isgas reservoir, and vice versa. The application of this model to 38 small layers in 13 wells of K reservoir in H oilfield shows that the recognition coincidence rate reaches 81.58%, and the recognition accuracy is high, meeting the actual needs of study area. The established ECR model has achieved good application effect in K reservoir of H oilfield, which can provide a certain reference for the subsequent exploration and development of this area, and also provide a reference for fluid identification of similar carbonate reservoirs worldwide.