Predicting Cumulative Production of Devonian Shale Gas Wells from Early Well Performance Data, Appalachian Basin of Eastern Kentucky

Similar documents
Summary of Publicly Available Production Data for the Devonian Berea Sandstone Play, Eastern Kentucky*

Estimated Proven Reserves in the Devonian Ohio/New Albany/Chattanooga Black Shale of Kentucky

Review of Kentucky Oil and Gas Production, 2010

Reservoir Modeling and Simulation of the Devonian Gas Shale of Eastern Kentucky for Enhanced Gas Recovery and CO 2 Storage

Recent Decline Models for Resource Plays. John Lee University of Houston 25 January 2012

Prediction of Water Production in CBM wells

For personal use only

SPE Reservoir Engineering and Production Optimization Mike Verney, P. Eng. February 28, 2017

Why Investors Should Beware Of The Bakken. By Arthur Berman - Mar 01, 2017, 4:27 PM CST

Powder River Basin Coalbed Methane Wells Reserves and Rates Gary S. Swindell, SPE

Unconventional Reservoir Stimulation. R. D. Barree Barree & Associates LLC

Coalbed Methane in Kansas

Adaptation of SPEE Monograph 4 to Wyoming Horizontal Plays

The Marcellus Shale... By the Numbers*

Production prediction model of coalbed methane wells at stable production stage

ENERGY BLUEPRINT. Energy

Status of SPEE Monograph 4 Estimating Developed Reserves in Unconventional Reservoirs John Seidle MHA Petroleum Consultants

Appearances Representing Philip Whitworth Stroud Petroleum, Inc. Scott D. Stroud EXAMINER S REPORT AND RECOMMENDATION STATEMENT OF THE CASE

SPE Abstract. 1. Introduction

Timber Creek Field Study for Improving Waterflooding

Characterization of Multi-Porosity Unconventional Reservoirs and their Relationship to Oil and Gas Productivity

12 ph. Figure 4. Cumulative plot of ph values from BMU 1. Table 4. Summary of ph values (standard ph units). SMCL: 6.5 to 8.5.

Status of SPEE Monograph 4 & The Importance of Transient Flow in Estimating Unconventional Reserves Denver SPEE chapter luncheon 14 October 2015

The Implications of Lower Natural Gas Prices for the Electric Generation Mix in the Southeast 1

Niobrara Tight Oil Success in Colorado: What Do The Numbers Indicate?

SPE Abstract. Copyright 2011, Society of Petroleum Engineers

Principles of Energy Conversion Part 3. Exponential Growth & Hubbert s Peak

INTERVALS FOR NGL STORAGE APPLICATIONS

SPE Top-Down Intelligent Reservoir Modeling of New Albany Shale A. Kalantari-Dahaghi, SPE, S.D. Mohaghegh, SPE, West Virginia University

A PETROPHYSCIAL MODEL TO ESTIMATE FREE GAS IN ORGANIC SHALES

EnerCom's London Oil & Gas Conference 16 June 2011 London, England Danny D. Simmons

Monograph 5: A Practical Guide to Type Well Profiles

Forward Looking Statements

Coalbed Methane Play Characterization

Challenges of Reserves Estimate (tight and unconventional reservoirs) By: Saad Ibrahim, P.Eng. Calgary, Canada

Southeast Regional Carbon Sequestration Partnership

SPE-SPE MSMS. SPE Eastern Regional Meeting Copyright 2016, Society of Petroleum Engineers

The Geysers Geothermal Field, an Injection Success Story

RFF Workshop on LBD in Energy Technologies. Marvin B. Lieberman

CMM Resource Assessments and their Impact on Project Development

CONSUMER ADVOCATE DIVISION=S ANNUAL REPORT FOR 2013 AND COMPARATIVE RESIDENTIAL RATE STUDY ******************************************************

The Allison Unit CO 2 -ECBM Pilot A Reservoir and Economic Analysis

This paper was prepared for presentation at the Unconventional Resources Technology Conference held in San Antonio, Texas, USA, 1-3 August 2016.

AIChE: Natural Gas Utilization Workshop Overcoming Hurdles of Technology Implementation

C a l g a r y H o u s t o n D e n v e r

Contemplations about the future of natural gas: the good, the bad and the ugly

L. David Roper August, 2012

Characterization and Simulation of ECBM: History Matching of Forecasting CO2 Sequestration in Marshal County, West Virginia.

BMP No. 3 Streamside Management Zones

IPS More than just Penetration: Perforation Design for Naturally Completed and Stimulated Wells

Phase II-Task 10: Evaluation of Large- in Central Appalachia

Characteristics and control mechanisms of coalbed permeability change in various gas production stages

DEEPA TM Stimulation of Natural Fracture Networks in Austin Chalk

RESOURCE PLAYS: UNDEVELOPED RESERVES THE LEARNING CURVE

ENERGY SLIDESHOW. Federal Reserve Bank of Dallas

ENERGY SLIDESHOW. Federal Reserve Bank of Dallas

University of Michigan Eco-Driving Index (EDI) Latest data: August 2017

INJEÇÃO DE CO 2 PARA PRODUÇÃO ACRESCIDA DE METANO DE CARVÃO EM CAMADA CO 2 INJECTION FOR ENHANCED COALBED METHANE (ECBM)

Field Demonstration of CO 2 Miscible Flooding in the Lansing-Kansas City Formation, Central Kansas

Is Water Scarcity an Issue for Hydraulic Fracturing in Semiarid Regions?

Coalbed Methane- Fundamental Concepts

Woodford Shale, Ardmore Basin, Oklahoma: A Developing Shale Play

Graphing to Explore Equations David Kohlstedt University of Minnesota

Jerzy M. Rajtar* SHALE GAS HOW IS IT DEVELOPED?

Analyzing Performance of

North American Shale Gas. Shale Gas Abundance or Mirage? Why The Marcellus Shale Will. Arthur E. Berman Labyrinth Consulting Services, Inc.

NORTHEAST BRITISH COLUMBIA NATURAL GAS HISTORICAL DISCOVERY TRENDS JANUARY 1990 TO DECEMBER 31,2002

TSX-V: TBD USA - OTC: TBDYF

Coal Bed Methane (black coal, green future.)

THIRTY YEARS OF LESSONS LEARNED. Coal

SPE Copyright 2012, Society of Petroleum Engineers

Lab 6 - Pumping Test. Pumping Test. Laboratory 6 HWR 431/

Chapter 1: The World of Energy, Introduction to Physics 1104

Indicators of Hydrologic Alteration (IHA) software, Version 7.1

Intelligent Production Modeling Using Full Field Pattern Recognition

Hydrocarbons and Depletion : Shale gas technology to the rescue?

PNGE 480 Petroleum Engineering Design

POTENTIAL for COALBED METHANE (CBM) and ENHANCED COALBED METHANE RECOVERY (ECBM) in INDIANA

Supplemental Guide II-Delineations

Outlook for Oil and Gas and Implications for Biomass

A Strategy for Exploiting Unconventional Gas Resources and Mitigating Greenhouse Gas Emissions

University of Arizona Department of Hydrology and Water Resources Dr. Marek Zreda

Analyses for geochemical investigations traditionally report concentrations as weight per volume of the measured ions (mg/l of NO 3 , NO 2

2 Regional Geological Setting

Anadarko Canada Corporation

Five Things You Should Know

Tim Carr - West Virginia University

Field evaluation of wetting agent efficacy against localized dry spot and hydrophobicity in creeping bentgrass putting green turf -AquaAid

Status and outlook for shale gas and tight oil development in the U.S.

Shale Gas. A Game Changer for U.S. and Global Gas Markets? Flame European Gas Conference March 2, 2010, Amsterdam. Richard G. Newell, Administrator

Forward Looking Statements

The Allison Unit CO 2 ECBM Pilot: A Reservoir Modeling Study

Results of Reservoir Simulation Horizontal Infill well, Ness City North field, Ness County, Kansas

Technoeconomic analysis of shale gas gross split contract in Naintupo Formation, Tarakan Basin

Relationship between Hydrate-Free Hold Time and Subcooling for a Natural Gas System Containing Kinetic Hydrate Inhibitors

Evaluating Production Performance from Horizontal Well Refracs in Saskatchewan

Regional petrophysical properties of Mesaverde low-permeability sandstones

Forward Looking Statements

THE BARNETT SHALE AND WATER RESOURCES

THE APPLICATION OF FORGE ENERGY, LLC, INC. TO AMEND FIELD RULES FOR THE SHAFTER LAKE, N. (SAN ANDRES) FIELD, ANDREWS COUNTY, TEXAS

Transcription:

Predicting Cumulative Production of Devonian Shale Gas Wells from Early Well Performance Data, Appalachian Basin of Eastern Kentucky Brandon C. Nuttall Kentucky Geological Survey With contributions by Shannon Daugherty Eastern Section AAPG, Lexington, Kentucky 17-Sep Sep-2007 Funding: National Coal Resources Data System, U. S. Geological Survey

Geology of Devonian Shale

Sunbury Berea Cleveland Three Lick Bed Upper Huron Ohio Middle Huron A shale well is? Top Sunbury to top underlying carbonates Lower Huron Olentangy Rhinestreet

Early Performance Data Well log and completion report Initial Open Flow Rock Pressure Monthly production (805 KAR 1:180, KRS 353.205) Maximum monthly production (Mcf( Mcf) First year cumulative production 5 year cumulative production

Data Sets KGS online well completion data Location, completions, IOF, RP Division of Oil and Gas Public production data by month (1997) Gas Technology Institute (GRI) Historic, long-term production data Proprietary,, available to members and contractors

Production Data Selection Completed since 1-Jan1 Jan-97 Devonian shale only (not commingled) 60 or more months of non-zero data 310 wells

Initial Open Flow Data Exhibits only weak trends No uniform method of acquiring

Reported Rock Pressure High and low open flows occur in areas of both high and low rock pressure

Rock Pressure vs IOF 2000 1500 IOF (Mcf) 1000 500 0 0 200 400 600 800 1000 Rock Pressure (psi)

Five-year Cumulative Production Again, weak trends Areas with higher and lower production are often adjacent

Initial Open Flow Correlation is statistically significant, but weak 5-year Cumulative (MMcf) 600 500 400 300 200 100 0 y = 0.0886x + 43.204 R 2 = 0.25 0 1000 2000 3000 4000 5000 IOF (Mcf)

GTI Cumulative Production Industry rule of thumb is 300 MMcf per well 100% 75% 50% 10 MMcf 692 MMcf 25% 1 year 5 year 10 year 25 year 50 year 0% 0.0001 0.001 0.01 0.1 1 10 Proprietary data Billion Cubic Feet

Cumulative Gas Production 3 Billion Cubic Feet 2.5 2 1.5 1 0.5 Class 1 Class 2 Class 3 Class 4 0 0 10 20 30 40 50 60 GTI data Years in Production

Cumulative Production Over Time Ten-year (MMcf) 1200 1000 800 600 400 200 0 y = 1.8887x + 7.0426 R 2 = 0.9278 0 100 200 300 400 500 600 Five-year (MMcf) GTI data

Public Production Data Classes 100% Type 4: Red 75% Type 3: Yellow 50% Type 2: Green 25% Type 1: Blue 0% 6 months 1 year 5 years 98 MMcf 59 MMcf 35 MMcf 0.1 1 10 100 1000 Million cubic feet (MMcf) Data from Kentucky Division of Oil and Gas

General Decline Model (Arps( Arps) Hyperbolic: q q = i t 1 ( 1+ bd t)b i Best fit parameters: q i initial production D i nominal decline b decline exponent Special cases: Exponential, b=0: q = t e q i D t i Harmonic, b=1: q t q = 1+ ( D t) i i

Solving Exponential: Least squares Hyperbolic: ln Optimization Linear Programming ( q ) = ln( q ) D t + t i Both can easily be done with the built-in functions supplied with spreadsheets, but i

Deplete free gas in fractures Best Case: Textbook Data Natural fracturing is key to production Desorbs from fracture faces Desorption and diffusion through shale matrix

Challenges Shut-in Noisy data (no trend) Operational changes Apparent incline

Raw Data

Normalized q t = q obs q max

Rate-Cumulative

Semi-log plot

Rule of thumb: b 3 to 4

Rule of thumb: D i -0.95 to -0.99 Many data sets have a decline (i.e., slope) that is not statistically different from 0 (no correlation).

For exponential decline, Qi is often less than max production Max production is the initial period For hyperbolic decline, Qi is often greater than max production

Qi and maximum production are not correlated

Basis of classification 50 th percentile 25 th percentile 75 th percentile Public data from the Kentucky Division of Oil and Gas

Public data from the Kentucky Division of Oil and Gas 6moCum = 101.7*MaxAvg + 1938 r 2 = 0.87

Type Declines Average Mcf/d 200 150 100 50 Type 1: 143MMcf Type 2: 78 MMcf Type 3: 46 MMcf Type 4: 23 MMcf 0 0 12 24 36 48 60 Months Five-year cumulative production in million cubic feet

Conclusions Shale production data is messy Decline curve analysis and reserves projection is an art Maximum average daily production during the first 6 months is an adequate indicator of future well performance Best wells can be expected to make: 20 MMcf in first year 100 MMcf after 5 years

Thanks www.uky.edu/kgs bnuttall@uky.edu Oil and gas well search with production data kgsweb.uky.edu/datasearching/oilgas/ogsearch.asp Oil and gas well interactive mapping kgsmap.uky.edu/website/kgsgeology/viewer.asp Project web page www.uky.edu/kgs/emsweb/devsh/production/index.htm