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• W4249824421 abstract "Optimization of Conformance Decisions Using a New Well-Intervention Simulator Joseph Ansah; Joseph Ansah Halliburton Energy Services Group Search for other works by this author on: This Site Google Scholar Mohamed Y. Soliman; Mohamed Y. Soliman Halliburton Energy Services Group Search for other works by this author on: This Site Google Scholar Syed Afaq Ali; Syed Afaq Ali Chevron Energy Technology Co Search for other works by this author on: This Site Google Scholar Carlos Moreno; Carlos Moreno Repsol YPF Ecuador Inc. Search for other works by this author on: This Site Google Scholar Ricardo Alberto Jorquera; Ricardo Alberto Jorquera Halliburton Energy Services Group Search for other works by this author on: This Site Google Scholar John Michael Warren John Michael Warren Halliburton Search for other works by this author on: This Site Google Scholar Paper presented at the SPE/DOE Symposium on Improved Oil Recovery, Tulsa, Oklahoma, USA, April 2006. Paper Number: SPE-99697-MS https://doi.org/10.2118/99697-MS Published: April 22 2006 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Ansah, Joseph, Soliman, Mohamed Y., Ali, Syed Afaq, Moreno, Carlos, Jorquera, Ricardo Alberto, and John Michael Warren. Optimization of Conformance Decisions Using a New Well-Intervention Simulator. Paper presented at the SPE/DOE Symposium on Improved Oil Recovery, Tulsa, Oklahoma, USA, April 2006. doi: https://doi.org/10.2118/99697-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Improved Oil Recovery Conference Search Advanced Search AbstractFor many years, operators and service companies have applied conformance treatments without adequate methods to verify treatment efficiency, since complexities of the treatment and reservoir systems have made attempts to quantify the effects of these conformance solutions with available tools unreliable. A comprehensive database had been developed with help of several operating companies of conformance treatments that were performed by several service companies over 30+ years. This database shows that in the absence of proper diagnostics and analysis, the success of a conformance treatment usually hovers around 50% even in well established areas. Application in new areas usually fares significantly worse, with a success ratio of 30% or less.An important reason for this unacceptable situation is the tendency to design a conformance treatment without adequately considering reservoir effect. In this paper, we present a methodology and a numerical simulation approach that are aimed at improving the success ratio of conformance treatments.Optimum conformance treatments must consider:placement techniques,treatment size,reservoir temperature and pressure effects, andtracking of conformance fluid-property changes with time and temperature.To adequately design a conformance treatment, it is important to predict both pressure and temperature profiles inside the wellbore and the reservoir. Using a numerical simulator that couples the wellbore with the reservoir provides a very efficient means for developing a methodology to optimize conformance treatments. Simulated examples are given to shed insight into basic conformance phenomena such as coning and channeling. Most importantly, two field cases are presented to demonstrate practical application of the developed methodology for designing an optimum conformance solution.This new methodology reduces operational and economic risks associated with conformance treatments. It also allows for optimization of these treatments through more accurate prediction of water and hydrocarbon production.IntroductionConformance technologies, which in a broader sense involves techniques for controlling the amount of unwanted water and/or gas production in a field, have been in practice for at least half a century.[1,2] During this period, a variety of approaches have been applied to improve recovery of petroleum reserves, including the use of sealants and relative permeability modifiers (RPM), as well as application of different chemical systems - polymers, monomers, cement, etc.There are two key components, among others, of an effective conformance control technology:proper chemical (polymer gel) selectionproper placement of the selected chemical systemThe industry is replete with all kinds of chemical systems for conformance control. However, proper placement of these chemicals at the right places inside the reservoir for effective control of unwanted water or gas production has remained elusive for a long time, due in part to the lack of better design tools for diagnosing the actual conformance problem in any specific situation.Many authors have described the need for proper diagnostics in order to ensure optimal conformance control.[3–5] Dependence of the success of any conformance treatment on the accurate determination of types and locations of reservoir fluids was also emphasized in Reference [6]. Soliman et. al., in that paper, noted that determining the accurate locations of mobile water or unwanted formation gas is essential to the success of any effective conformance control process, and the fact that this goal could only be achieved through early integration of multiple technologies. One could roughly divide the stages involved in a traditional conformance treatment into the following four categories:Pre-diagnostic evaluation, which consists of candidate selection and the gathering of a complete data set including production history, economic analysis, logs, production tests, and a decline history.Diagnostic evaluation, which includes the gathering of data from reservoir monitor logs, water flow logs, production logs, cement evaluation logs, pipe inspection logs, and video.Analytical and numerical evaluation, which can include multi-rate injection with profile analysis, pump-in testing, laboratory analysis/evaluation, and placement design and evaluation using analytical and/or numerical tools - including the new well-intervention simulator proposed in this paper.Treatment, which might include application of sodium silicates, in-situ polymerized monomers, polyfood solutions, polyacrylamide gels, organic gels, combinations of gel/cementing solutions, cements, micro matrix slurries, diesel based micro matrix slurries, foam cement, in-situ polymerized and preformed relative permeability modifiers. Keywords: enhanced recovery, Saturation profile, case 2, conformance improvement, conformance treatment, permeability layer, application, simulator, production rate, water production rate Subjects: Improved and Enhanced Recovery, Conformance improvement This content is only available via PDF. 2006. Society of Petroleum Engineers You can access this article if you purchase or spend a download." @default.
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• W4249824421 title " Optimization of Conformance Decisions Using a New Well-Intervention Simulator " @default.
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