Recent innovations in wireline fluid sampling have allowed the expedient recovery of high quality oil samples. The use of the Optical Fluid Analyzer* (OFA), a part of the Modular Formation Dynamics Tester* (MDT), to predict sample fluid type and quality has now become an essential part of the sampling process. The ability to use the optical data from the OFA in a more quantitative manner has been under development for several years. This paper demonstrates that the analysis of the optical spectra measured downhole, can be used to give a quantitative indication of some hydrocarbon properties prior to or during sampling. Clearly, there are many potential benefits from using these optical spectra whilst sampling to assist in reservoir characterization and determination of oil type. Optical data gathered while taking oil samples in 21 wells, drilled with water based mud, offshore Norway were correlated with the PVT properties of those samples. These samples were selected to ensure a wide range of oil types in order to establish correlations between the fluid and optical properties. Correlations have been found between the optical response and some fluid properties as determined from PVT laboratory measurements of the samples. Oil density, saturation pressure (Pb), oil compressibility (Co), formation volume factor (Bo) and gas oil ratio (GOR) gave good correlations. Weaker correlations were found with other properties. GOR as well as optical responses could become measured variables with the possible future addition of a GOR measurement sensor to the MDT. Improved correlations are demonstrated when this feature is simulated. The results of this study show that the optical data measured during wireline fluid sampling can help determine key in-situ hydrocarbon properties. Introduction The quality expected of a wireline fluid sample was significantly improved with the evolution of the MDT by Schlumberger in the early 1990s. An essential part of the MDT is the OFA, which distinguishes not only between liquid and gas but also differentiates water from oil. The OFA thus allows identification of fluids prior to taking a sample, which optimises the quality and quantity of the samples taken. The functionality of the OFA, Fig. 1, has been described in detail in other work1. The focus of this study is the use of the visible light range in the OFA spectrometer, Fig. 2, to discern between different types of crude oils. Since the earliest days of sampling with the MDT, researchers have been investigating the possibility of using the OFA's spectrometer section for more extensive fluid characterization while sampling2,3,4. While the primary emphasis of recent research involving the OFA has been with the aim of determining downhole oil based mud contamination of oil samples2,4,5 , many researchers have noticed strong correlations between the OFA visible light range responses and laboratory derived fluid characterization, or PVT properties2,3. The possibility to obtain primary fluid characterization results real time offers the chance to improve the success of wireline fluid sampling. More specifically, this technique provides for more extensive reservoir characterization, optimal sample quality, more efficient sampling, earlier knowledge of reservoir parameters and, if necessary, optimal well test design. Some examples of this are: the ability to accurately estimate saturation pressure from the optical responses allowing optimal drawdown while sampling, analysis of fluids from multiple zones without necessarily sampling, and increased knowledge of fluids before sampling.
Optimising the late-life development of heavy oil reservoirs due to biodegradation in a fresh water aquifer remains a challenge in the industry. When the variation of viscosity with depth is coupled with a significant degree of compartmentalisation due to structural complexities, the identification of a technically and economically viable development requires an integrated approach in field development studies. This paper presents a case study for such a complex field, a Gharif reservoir situated in the Eastern Flank of the South Oman Salt Basin. The integration between various data sets from across disciplines of varying fidelity and by adopting a decision-based planning approach has achieved two outcomes. Firstly, the highest field production since coming on stream; and secondly, the delivery of an updated Field Development Plan (FDP) that unlocks remaining hydrocarbon potential in a phased approach to mitigate key risks. On stream since 1981, the heavily compartmentalized Marmul Gharif South Rim Field has evolved from a primary depletion to a mature waterflood by flank injection. The sands, distributed in a rim setting with a steep dip tend to be vertically discontinuous in the wells, so that direct observation of fluid contacts is very rare and most wells yield only a Water Up To (WUT) or Oil Down To (ODT). In addition, the poor contrast of heavy oil density against fresh formation water makes it difficult to obtain accurate pressure gradients. The field can be subdivided into a number of compartments with varying degrees of communication from complete hydraulic independence to weak/moderate pressure communication. Over the course of 2016-17, a study was carried out by a multi-disciplinary team to deliver a FDP. By integrating existing data, the team created a new structural framework. This involved integrating faults based on Bore Hole Images (BHI) together with seismic re-interpretation; analyzing production and pressure data for connectivity mapping; updating the OWC assessment which considered oil biodegradation as a function of height above free water level. This was followed by combining the new insights into a fit-for-purpose dynamic modelling approach which led to the identification of new infill/appraisal targets and formed the basis of the redevelopment plan. The increased understanding of the field has allowed early WRFM activities which contributed to increase production by the order of 20%. The effort has materialized into an improved field understanding and delivered a rejuvenation plan with an immediate impact of unlocking reserves with the drilling of 5 drilling & appraisal targets in 2017. This is followed by a phased development with 30 development and 3 appraisal wells in Phase 1; and additional 65 development and 1 appraisal well in Phase 2, to increase the field recovery factor by 5%.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.