Concepedia

Arps Decline Models

Arps Decline Models is a mathematical framework in reservoir forecasting that characterizes the production decline behavior of oil and gas wells by classifying decline curves into exponential, hyperbolic, and harmonic types based on an empirical relationship between decline rate and cumulative production.

74

Publications

3.3K

Citations

166

Authors

62

Institutions

Publications per year

2017–2026

19

Variants

Arps Decline Model

Parents

Publications

74

Exponential vs. Hyperbolic Decline in Tight Gas Sands — Understanding the Origin and Implications for Reserve Estimates Using Arps' Decline Curves

D. Ilk, J. A. Rushing, A. D. Perego et al. · SPE Annual Technical Conference and Exhibition · 2008 · 415 citations

, , +16

A Better Way to Forecast Production from Unconventional Gas Wells

Peter P. Valkó, W. John Lee · SPE Annual Technical Conference and Exhibition · 2010 · 341 citations

, , +16

Potential of kernel-based nonlinear extension of Arps decline model and gradient boosting with categorical features support for predicting daily global solar radiation in humid regions

Lifeng Wu, Guomin Huang, Junliang Fan et al. · Energy Conversion and Management · 2019 · 124 citations

, , +15

Machine learning models for the estimation of monthly mean daily reference evapotranspiration based on cross-station and synthetic data

Lifeng Wu, Youwen Peng, Junliang Fan et al. · Hydrology research · 2019 · 104 citations · Full text

, , +17

Comparison of Various Deterministic Forecasting Techniques in Shale Gas Reservoirs

Krunal Joshi, John A. Lee · SPE Hydraulic Fracturing Technology Conference · 2013 · 88 citations

, , +13

1–5 of 74

Authors

166

  1. TA
    T. A. Blasingame

    Mitchell Institute, United States

    9 publications · 729 citations

    9

    h-index

  2. JA
    J. A. Rushing

    Mitchell Institute, United States

    7 publications · 654 citations

    7

    h-index

  3. DI
    D. Ilk

    Mitchell Institute, United States

    7 publications · 619 citations

    7

    h-index

  4. AD
    A. D. Perego

    Mitchell Institute, United States

    5 publications · 592 citations

    5

    h-index

  5. DA
    Duane A. McVay

    Texas A&M University, United States

    4 publications · 220 citations

    4

    h-index

1–5 of 166

Institutions

62

  1. Texas A&M University

    College Station, United States

    17 h-index

    41 publications

    3.2K citations

  2. Mitchell Institute

    Portland, United States

    16 h-index

    37 publications

    3K citations

  3. University of Houston

    Houston, United States

    5 h-index

    7 publications

    221 citations

  4. Pennsylvania State University

    State College, United States

    4 h-index

    7 publications

    218 citations

  5. Southwest Petroleum University

    Chengdu, China

    4 h-index

    7 publications

    415 citations

  6. University of Alaska Fairbanks

    Fairbanks, United States

    3 h-index

    9 publications

    217 citations

  7. Southwest University of Science and Technology

    Mianyang, China

    3 h-index

    3 publications

    203 citations

  8. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation

    Chengdu, China

    2 h-index

    3 publications

    195 citations

1–8 of 62

Venues

  1. SPE Annual Technical Conference and Exhibition

    Conference · 9 publications · 959 citations

    9

    h-index

  2. SPE Reservoir Evaluation & Engineering

    SPEREE · 5 publications · 153 citations

    5

    h-index

  3. SPE Journal

    5 publications · 182 citations

    5

    h-index

  4. SPE Eastern Regional Meeting

    4 publications · 100 citations

    4

    h-index

  5. SPE Unconventional Resources Conference

    Conference · 3 publications · 40 citations

    3

    h-index

1–5