{"title":"RE-EVALUATION OF A GAS STORAGE RESERVOIR IN THE MOESIAN PLATFORM USING A MULTI-CRITERIA INTEGRATED ANALYSIS","authors":"D. Cristea","doi":"10.51865/jpgt.2021.02.05","DOIUrl":null,"url":null,"abstract":"An integrated approach was used to analyse the quality of a Miocene reservoir in the Moesian Platform, Romania. While this paper goes through all the main components of an integrated study (seismic, petrophysics, reservoir engineering), the main focus was on well data. This research focused on modelling the structure using mainly well data. The reservoir is associated with an alluvial cone structure and a canal system NNW-SSE, with the lithological traps in the southern part [1]. The reservoir pressure and the behaviour during production indicates a gas expansion is the main displacement mechanism, alongside a low influx of water. The results of this paper show that the performance of the reservoir is influenced not only by the available energy (the elastic gas expansion and a low influx of water), but also by the spatial distribution of different facies in relation to the well locations. Gas production started in 1962 and continues to this day. However, the Miocene reservoir was chosen for gas storage (UGS-Underground Gas Storage) due to its relatively large thickness, good porosity and large surface area [2]. The purpose of a reservoir characterisation is to incorporate existing data from petrophysics, geophysics, geological and reservoir engineering, so that the results obtained by the multidisciplinary team can be used to create a reservoir model which will improve economic results.","PeriodicalId":208076,"journal":{"name":"Romanian Journal of Petroleum & Gas Technology","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Romanian Journal of Petroleum & Gas Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51865/jpgt.2021.02.05","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An integrated approach was used to analyse the quality of a Miocene reservoir in the Moesian Platform, Romania. While this paper goes through all the main components of an integrated study (seismic, petrophysics, reservoir engineering), the main focus was on well data. This research focused on modelling the structure using mainly well data. The reservoir is associated with an alluvial cone structure and a canal system NNW-SSE, with the lithological traps in the southern part [1]. The reservoir pressure and the behaviour during production indicates a gas expansion is the main displacement mechanism, alongside a low influx of water. The results of this paper show that the performance of the reservoir is influenced not only by the available energy (the elastic gas expansion and a low influx of water), but also by the spatial distribution of different facies in relation to the well locations. Gas production started in 1962 and continues to this day. However, the Miocene reservoir was chosen for gas storage (UGS-Underground Gas Storage) due to its relatively large thickness, good porosity and large surface area [2]. The purpose of a reservoir characterisation is to incorporate existing data from petrophysics, geophysics, geological and reservoir engineering, so that the results obtained by the multidisciplinary team can be used to create a reservoir model which will improve economic results.
采用综合方法分析了罗马尼亚Moesian台地中新世储层的储层质量。虽然本文介绍了综合研究的所有主要组成部分(地震、岩石物理、油藏工程),但主要关注的是井数据。本研究主要利用井数据对结构进行建模。储层伴生有冲积锥构造和河道体系NNW-SSE,南部发育岩性圈闭[1]。储层压力和生产过程中的动态表明,除了少量水流入外,天然气膨胀是主要的驱替机制。研究结果表明,储层的动态不仅受可用能量(弹性气膨胀和低水侵量)的影响,还受不同相相对于井位的空间分布的影响。天然气生产始于1962年,一直持续到今天。而中新世储层由于储层厚度大、孔隙度好、比表面积大而被选择作为储气库(UGS-Underground gas storage)[2]。储层描述的目的是将岩石物理、地球物理、地质和储层工程的现有数据结合起来,以便多学科团队获得的结果可以用于创建储层模型,从而提高经济效益。