20060328 Kikani

Information about 20060328 Kikani

Published on February 7, 2008

Author: Miranda

Source: authorstream.com

Content

Slide1:  SPE DISTINGUISHED LECTURER SERIES is funded principally through a grant of the SPE FOUNDATION The Society gratefully acknowledges those companies that support the program by allowing their professionals to participate as Lecturers. And special thanks to The American Institute of Mining, Metallurgical, and Petroleum Engineers (AIME) for their contribution to the program. Slide2:  Reservoir Surveillance Planning and Evaluation Jitendra Kikani Slide3:  Surveillance and Value Creation Link with Asset Management Strategy Uncertainty and Resolution Potential Surveillance Planning and Value of Information Steps in Monitoring Real Time Reservoir Management Outline Slide4:  What is Surveillance? Surveillance is the continuous process of generating opportunities for improving reservoir performance Slide5:  Surveillance and Value Creation Surveillance provides facts, information, knowledge, and intelligence necessary to Chronicle reservoir performance Provide basic information on parameters to improve ability for prediction Identify problems in meeting forecast and provide methods to mitigate the impact Slide6:  When is Surveillance Important? Challenges vary during the Asset Lifecycle. Surveillance needs and types alter accordingly Slide7:  Asset Strategic Intents Goals Choices To Meet Objectives Work Processes Value Proposition Operational Objectives Strategy Vision Objectives Alternatives Action Plan Valuation World Class Asset Performance Low Cost Asset Business Planning Window Initiate Secondary Recovery Effective Fluid Management Gas Shutoff Increase Fluid Handling Capacity Selective Curtailment Develop / Identify Thief Zones Run Injection Profile Surveys Gas Shutoff Alternative Reduce Fluid Cycling Debottlenecking Evaluate Set New Goals Asset Strategy & Surveillance Vital to establish link with Asset Strategy Slide8:  Surveillance Planning Once Work-Processes are identified, elements of surveillance plan can be put into effect Slide9:  Data Gathering Plans Should Address the Issues Related to Upper Triangular Boxes What Data to Gather? Risked Impact = Likelihood * Consequence Slide10:  How Can Surveillance Planning Be Used? Once the Risk/Resolution potential is identified and portfolio decisions are made Break down the Complex Variables into simple measurable parameters Evaluate the Current State of Knowledge and methodologies that could change the future state Select the techniques to be used Multiple measurements of some parameters may be warranted Slide11:  Information is Cost Dependent Data gathering can be expensive and translation to information is imperfect Courtesy – Arild Fossa - Haliburton Slide12:  Value of Information Drives Data Gathering Value Proposition can be evaluated by DA techniques Contingency Plans should be prepared Monitoring Steps:  Monitoring Steps Plan Align with goals, objectives, strategy Document assumptions & predictions Write action plan and procedures Acquire Collect data according to action plan QC data acquired Analyze What happened? Root Cause Analysis? Conclusions about what happened? Generalizations? What options are available? Apply What decisions can be made? What uncertainties remain? What are the Ps? Lessons Learned? Slide14:  Ideal State Reservoir data are current, digitized, QC’d, and available to Asset Team members from a main database Front ends seamlessly connect databases and integrate across applications and platforms Responsibility and accountability for all data types is clearly established Automated data capture systems (i.e., SCADA) are widely used Data & Information Management Analysis Techniques:  Analysis Techniques Single and multiple plots and overlays can provide insight into well and reservoir performance Specialized cased hole logging techniques such as C/O logs can identify fluid contacts and bypassed oil Merge/compare with open-hole logs Differential saturation data from multiple runs Fluid breakthrough analysis can identify mechanics of fluid movement Slide16:  Plot overlays can signify problems! Reservoir Monitoring :  Reservoir Monitoring Compare C/O saturations to open hole analysis to identify potential unswept or bypassed oil zones Plots & Analysis Methods:  Plots & Analysis Methods Production Decline Curve Analysis Log of Water Cut or Oil Cut Versus Cumulative Production Fetkovich type curves Ershagi Plot (X plot) Dowell-Schlumberger log(WOR) Diagnostic Plot GOR curve Injection Injectivity curves – pseudo injectivity Hall Plots Hearn plot Analytic Plotting Methods Focused On Plots & Analysis Methods:  Plots & Analysis Methods Pattern Plots Integrating disparate data Injection oil ratio curves Voidage replacement ratios Pattern performance comparison Producer and Injector pair plots Pattern Plots and Volumetrics Integrating volumetrics into pattern plots Staggs Plot Fractional flow data used to estimate cycling Integrate simulation Mapping –the geographic dimension Log Diagnostic Plots:  Log Diagnostic Plots Log Diagnostic Plots:  Log Diagnostic Plots Normal Displacement (Single Layer) straight WOR line with positive slope (derivative) ranging from .5 to 3 cycle/cycle Normal Displacement from Multiple Layers a series of straight WOR lines with positive slopes ranging from .5 to 3 cycle/cycle. A drop, or flattening in WOR, as each successive layer becomes dominant. Normal Displacement with High Perm (Thief) Zone a straight WOR line with high positive slope of 2-4 Coning a rising, curved WOR line that approaches a constant value >1 - the derivative decreases. Near Well-Bore Flow (Channels Behind Casing, etc.) WOR line steeply raises to values >10 and up to 1,000 - derivative sharply increases to extreme values Normal Multi-layer displacement:  Normal Multi-layer displacement Normal production plots may not always be diagnostic. Log-log plots allow expansion of different time-scales Conventional Plot Log (WOR) vs log (Np) Diagnostic Plot for Coning:  Diagnostic Plot for Coning Once the cause of poor performance is diagnosed, remedial action can be attempted e.g Rel perm modifiers for layer breakthrough Squeeze jobs Sliding sleeves Intelligent completions Permanent Monitoring Systems:  Permanent Monitoring Systems Surface and/or subsurface monitoring systems can provide valuable information Electronic, wireless and Fiber optic systems are available Coupling with Intelligent Well Systems feasible Pressure, Temperature, Flow-rate, strain and resistivity monitoring possible Powerful Data Mining Techniques can assist in providing knowledge and insights Need for Time Drive Data:  Need for Time Drive Data Instrument errors Measurement errors Interpretation errors Integration errors Dealing with complexities “ Absoluteness of a data type or measurement is questionable” Difficulties with a data type Value of Time Drive Normalize instrument errors Protocol commonality Differential data provides consistency Global optimization on redundant data allows improved integration Importance of complexity can be evaluated (Redundant and/or continuous measurements provide significant advantages) Summary:  Summary Key to good surveillance practice are Planning Alignment with Asset Objectives Addressing High Risk, High Resolution Potential Data Computing Value of Information Gathering Baseline Data Assign appropriate responsibilities Seamless access and integration with other data Extensive use of disparate types of data with integration and conversion of data to knowledge as a goal Slide27:  Worth Pondering? The value of our company is based on its reserves, its barrels of oil equivalent. They are all “virtual.” We cannot count them, they are a projection of our data. “Which really are our assets - barrels or data describing the barrels we think we have?” Source: Cambridge Energy Research Associates CERA, 1996 Slide28:  BACKUP

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