Reservoir Characterization Capstone Project Semester 1 PNG 490 – Team 26 April 29 th 2014.

Slides:



Advertisements
Similar presentations
OilSim day 2 Today’s Challenges Task 3 yesterday Task 5 Task 4
Advertisements

DESIGNING A WATERFLOOD Designing a water flood involves both technical and economic consideration. Economic analysis are based on estimates of water.
The Tuscaloosa Marine Shale. What Is The Tuscaloosa Marine Shale? The Tuscaloosa Marine Shale (TMS) is a sedimentary rock formation that consists of organic-rich.
A Compelling Case. A Focused Vision. October 2006 Unconventional Natural Gas TSX VENTURE: SPI.
3-D Seismic Waveform Analysis for Reservoir Characterization
Field Demonstration of CO 2 Miscible Flooding in the Lansing-Kansas City Formation, Central Kansas Alan P. Byrnes (KGS, PM-BP1) Class II Revisited DE-AC26-00BC15124.
TTI CO2 Sequestration in Geologic Formations Terralog Technologies USA, Inc. BP Hydrogen Energy CO2 Project.
Geological and Petrophysical Analysis Of Reservoir Cores
Tim Armitage.  Shale Gas Reservoir's  The problems with Shale Reservoirs  What is needed to Create a usable model  Possible solutions to Porosity.
Application of Advanced Exploration Technologies for the Development of Mancos Formation Oil Reservoirs, Jicarilla Apache Indian Nation, San Juan Basin,
Multicomponent seismic interpretation of the Marcellus shale
EAS 430: Petroleum Geology
Isopach and Isochore Maps
Well logging course for fourth year
Utah Oil Shale – what and where is it, how much is there, and why is it important? David Tabet and Michael Vanden Berg Energy and Minerals Program Utah.
Basic well Logging Analysis – The Gamma Ray (GR) Log
Pioneer Natural Resources
Evaluation of Reservoir Performance Using Decline Type Curves Improve Reservoir Description - Area Central Norte (ACN) Region, El Tordillo Field Argentina.
Unconventional Petrophysical Analysis in Unconventional Reservoirs
Geologic Analysis of Naturally Fractured Reservoirs 2nd Edition, R. A
Chapter 1 RESERVOIR.
Outline Pore Pressure and Fracture Gradient Drilling Fluid Casing Design Cement Design Drilling Bit Economic Analysis.
PERSIAN GULF OIL BY WILL CAMARDA ESS 315. Location  The majority of the Persian Gulf Oil Fields are located in the Persian Gulf Basin  Located between.
Formation Water Property Interpolation and Mapping from Wireline Logs for the Table Rock Field in the Greater Green River Basin Patrick Fortson Hunt, Wallace.
Saturated thickness and thickness change over time are important parameters used to model and manage the High Plains aquifer. Insight into how these parameters.
Guided by 3D seismic data, property modeling for the depleted reservoir was extended downward to the sparsely drilled deep saline aquifer. The geologic.
Resource Assessment of Oil & Gas, Coal-Bed Methane, and Geothermal Resources in Western Washington Department of Geology Portland State University M. Cummings,
New Directions and the Importance of Geology Susan Smith Nash, Ph.D. AAPG.
West Virginia Geological & Economic Survey
Subsurface Structural Trap. talk about how we find oil simulation to plan the drilling of a well Today’s Activity.
OIL RECOVERY MECHANISMS AND THE MATERIAL BALANCE EQUATION
International Shale Development Optimization
Advanced Resources International Demonstration of a Novel, Integrated, Multi-Scale Procedure for High-Resolution 3D Reservoir Characterization and Improved.
New Decline Curve Tool for GOM 3 /GOMsmart & “Forgotten Oil & Gas Study” 2012 GOM 3 User Conference at Anadarko John D. Grace, Ph.D. Earth Science Associates.
OilSim Faroes 2007 Facilitator Course Tórshavn, 2. Oktober, 2007.
CPGE Surfactant-Based Enhanced Oil recovery Processes and Foam Mobility Control Task 4: Simulation of Field-Scale Processes Center for Petroleum and Geosystems.
Luff Exploration Company Mark Sippel, Consulting Engineer
Field Demonstration of CO 2 Miscible Flooding in the Lansing-Kansas City Formation, Central Kansas Alan P. Byrnes Kansas Geological Survey Alan P. Byrnes.
LAB 5: Exploring for Petroleum Key Q: How is petroleum found?
Susan Pool Ray Boswell J. Eric Lewis Jonathan P. Mathews WVGES USDOE/NETL WVGES Penn State.
1 of 30 GIS for Reservoir Management: Estimating Original Gas In Place Jeffrey Vu, M.GIS Candidate Dr. Patrick Kennelly, Advisor.
1 RPSEA Project – Facies probabilities from seismic data in Mamm Creek Field Reinaldo J Michelena Kevin Godbey Patricia E Rodrigues Mike Uland April 6,
Res A Performed By Gemini Solutions, Inc. May 2001.
Uncertainty in AVO: How can we measure it? Dan Hampson, Brian Russell
Roger J. Barnaby 2006 GCAGS MEETING
PACIFIC PARADYM ENERGY INC. Investor Presentation / Summer 2010.
The specification states that you need to be able to: The specification states that you need to be able to: Define and explain the following terms: Define.
Joel Ben-Awuah. Questions to Answer What do you understand about pseudo-well? When to apply pseudo-well? What are the uncertainties in reservoir modeling?
Case Study : History Matching of Well by Predictive Material Balance Term Project : Advanced Reservoir Engineering Presented By, Namit J Jaiswal B.E (Chemical)
1 Formation Evaluation Exercise For Subsurface Methods Geology Course 4233 By Richard Andrews March 5, 2009.
“Perspectives on Montana’s Petroleum Industry” MREA-MPA-MONTAX “Bridges to the Future” Conference October 15, 2009 Dave Ballard President Ballard Petroleum.
Bacha Khan University Charsadda
Department of Conservation California Geological Survey
Wellbore Stability in Olmos Formation
Geology 5660/6660 Applied Geophysics 20 Apr 2016
Study of the Niobrara Formation in the Borie Field Abdulaziz Muhanna Alhubil, Gabrijel Grubac, Joe Lawson, Rachael Molyneux & David Scadden.
Chapter 1.  In order to have hydrocarbon to accumulate we need to have sediment basin, High level of organic materials, and temperature/pressure.  Source.
Logo here… PORE PRESSURE PREDICTION OF SOME SELECTED WELLS; INSIGHT FROM THE SOUTHERN PLETMOS BASIN, OFFSHORE SOUTH AFRICA. Oluwatoyin Ayodele, Mimonitu.
An Integrative Modeling Of Ras Budran Field, Gulf Of Suez, Egypt
Advance Seismic Interpretation Project
EXCLUSIVE EXPLORATION Annual Convention and Exhibition
Macondo: BP MC 252 A-1.
On the equality of resistivity fractal dimension and geometric relaxation time fractal dimension of induced polarization for characterizing Shajara Reservoirs.
Opuwari et al_LASUFOC_2017
Pitchfork Field Study Rochak Karki, Dhruba Panta, Tayyab Parvez, Rebecca Podio and Omair Sadiq.
Reservoir Characterization in Leming Lake, Alberta
Marc BLAIZOT, June the 13th,
Seismic attribute applications:
East Texas Oil Field (1930) • • Largest “lower-48” field
What are Lebanon’s oil and gas prospects
Presentation transcript:

Reservoir Characterization Capstone Project Semester 1 PNG 490 – Team 26 April 29 th 2014

Goals and Objectives Discretize and map the given formations Analyze log data Calculate expected recoverable oil in place Recommend further action with the field

Findings Based upon the data: Million Barrels 100 Dollar per Barrel comes out 10 – 27 Billion Dollars Further develop the selected area

Procedure Using generated data & 3 D models to determine sweet spots Interpolated values to entire reservoir Establish max, min & avg: water saturation & porosity Analyzed log data on 29 wells Digitalized formation topography Field discretization Client received request for field analysis

Geological Structure Penta Alpha was formed in the early cretaceous period Predict the ability to produce oil Types of lithology Limestone, sandstone, and minimal shale deposits Types of obstacles Drilling Break, and kick Pay zone rocks Sandstone

Discretization Process Analyzing contour map Drawing grids Construct surface map Surface Map of Penta Alpha Formation

3-D Surface Map Surface Map of Penta Alpha Formation

Evaluating Well logs Establish cut-offs Water saturation <.7 or 70% Gamma ray < 40 API Resistivity > 10 ohm-meters Determine Net Pay

Well log data gathering From porosity, water saturation and net pay thickness Determine maximum, minimum and average values Three distribution maps of porosity, water saturation and net pay thickness

Average Water Saturation Interpolation

Average Porosity Interpolation

Net Pay Interpolation Net Pay Thickness Interpolation

Monte Carlo Stimulation Calculate Values within set ranges for: Recovery Factor of 0.2 to 0.4 Formation Volume Factor of 1.05 – 1.08 Calculated OOIP ranged 375 – 675 million barrels Calculated recoverable oil 100 – 270 million barrels

Moderate Estimate (50% confidence)

Conservative Estimate (90% confidence)

Area of Interest Determine the areas with higher barrels per acres from recoverable oil in place P50 stimulation area of 3643 acres and produce around 34 million barrels. P90 stimulation area of 3643 acres and produces around 18.5 million barrels

Area of Interest 50 Percentile

Area of Interest 90 Percentile

Cumulative Oil in Place

Cumulative Recoverable Oil

Conclusion Valued at approximately 10 – 27 billion US Dollars A well drilled every 640 acres should be suitable in this situation Potential revenue should be attributed to a water saturation cut off of 70% Recommend entering phase two of drilling and preparing wells for production

Reference Alsharhan, A.S., and A.E.M. Nairn. Sedimentary Basins and Petroleum Geology of the Middle East. N.p.: Elsevier Science & Technology, Print. Canty, Daniel. "Enhanced Oil Recovery Leaders in the Middle East." Arabianoilandgas. ITP Bussiness Publishing Ltd., 11 June Web. 17 Apr Doveton, John H. "Basic Well Log Analysis: Reading Rocks from Wireline Logs." SEPM Shore Course No Apr Lecture.