The SPE Foundation through member donations and a contribution from Offshore Europe

Transcription

1 Primary funding is provided by The SPE Foundation through member donations and a contribution from Offshore Europe The Society is grateful to those companies that allow their professionals to serve as lecturers Additional support provided by AIME Society of Petroleum Engineers Distinguished Lecturer Program SPE First 1

2 Methods & Workflows Methods and Workflows to Process Dynamic Data in Intelligent Fields Olivier Houzé 2

3 Analysis of Dynamic Data create a flow sequence measure rates, pressures, temperature at any scale in time or space analyse and match data with a model use the analysis for operational decisions use the model to forecast scenarios Intelligent Fields: all this in real time 3

4 Dynamic Data Sources Well tests: Formation tests: Production logs: Production data: PDG data: Fiberoptics: q(t), P(t), T q(t), P(t), T vs. z q(z), P(z), T(z) vs. t q(t), Q(t) P(t), T T(z,t), P(z,t) 4

5 PDG Data (Permanent Downhole Gauges) Est: 75,000 to 100,000 PDG + 15,000 /year 5,000 IFM +800 /year 150 DFM 5

6 PDG Usage: PTA (Pressure Transient Analysis) 6

7 PDG Usage: PA (Production Analysis) 7

8 PDG Usage: History Matching 8

9 Issues Data overflow Information overflow Scarce human resources > 50% of time wasted fighting data Process rather than engineering Large crew change to come 9

10 Issues Data overflow Information overflow Scarce human resources > 50% of time wasted fighting data Process rather than engineering Large crew change to come 10

11 Tools / Methods 1. Wavelet filtering 2. Events identification 3. Deconvolution 4. Flexible numerical models 5. Proxys and virtual metering 11

12 1. Wavelet Filtering points too low too high OK Post-filtering 70 points 12

13 Wavelets filtering 13

14 Adaptative wavelets (2010) 14

15 2. Events identification 15

16 Identifying events Pressure or temperature vs. time (scale irrelevant) 16

17 Locating events Pressure or temperature vs. time (scale irrelevant) 17

18 Setting thresholds 10 hr & 100 psi 30 mn & 50 psi Pressure vs. time 18

19 3. Deconvolution we have we want 19

20 Deconvolution: How? We change this Convolution to match that 20

21 Deconvolution in action 12 Extraction Initial guess of of two the consistent deconvolution build-ups response 21

22 Deconvolution in action A Extraction Initial First and Final couple later iteration deconvolved guess of of iterations of two of the the consistent response deconvolution nonlinear later build-ups regression response 22

23 Deconvolution explained 23

24 4. Flexible Numerical Models PTA Cells PA Cells Simulation - 5 Cells 24

25 Adaptative gridding PTA Cells PA Cells Simulation - 5 Cells 25

26 Comparison of grid refinements PTA grid: matches the analytical model PA grid: matches after less than 1 hour Simulation grid: matches after 20 hours p PA & Simulation well indexes calibrated in situ from PTA grid t (hr) 26

27 5. Proxys & Virtual Metering Virtual Metering Dynamic Data Analysis 27

28 Dynamic data in intelligent fields PDG Data Historians Intelligent Field Data Model Production Databases Engineering Applications Dynamic data processing 28

29 The goal: Dynamic Data Workflow Raw Data Extracted Data Analyses (PTA+ PA HM) Filtered & Decimated Data Synchronized Data Proxy Model Human Process Reallocated Data ALARMS! 29

30 The risk: from Engineering to Process Raw Data Extracted Data some kh & skin Filtered & Decimated Data Synchronized Data some proxy straight line Human Process some results some report 30

31 What s next? DDA RTFM 31

32 Conclusion Masses of potentially useful data Data overflow Information overflow More Research & Development needed Leave processes to computers Leave engineering thinking to Engineers More education & training (crew change) More awareness from stakeholders (SPE) 32

33 A final remark on research Most technologies described here were initiated by research projects in the Petroleum Eng. Department of various universities: Stanford, Tulsa, Imperial College, Texas A&M, etc. Yesterday s investment in these projects turned out to be marginal compared to today s benefits 33

34 Thank you! Gracias! Grazie! Спасибо! ありがとう! Merci! 谢谢! Дякую! Danke! Obrigado! Зур рахмəт! 34

35 SPE Last Your Feedback is Important Enter your section in the DL Evaluation Contest by completing the evaluation form for this presentation : Click on: Section Evaluation Society of Petroleum Engineers Distinguished Lecturer Program 35