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TRANSCENDING CONVENTIONAL LOG INTERPRETATION- A MORE EFFECTIVE APPROACH FOR SPRABERRY RESERVOIR. Pioneer Natural Resources. DICMAN ALFRED M.S. Texas A&M University. LOCATION. HIGH’S AND LOW’S.

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slide1

TRANSCENDING CONVENTIONAL LOG INTERPRETATION- A MORE EFFECTIVE APPROACH FOR SPRABERRY RESERVOIR

Pioneer Natural Resources

DICMAN ALFRED

M.S

Texas A&M University

high s and low s
HIGH’S AND LOW’S
  • At least 15% of all oil remaining in class 3 (slope-basin and clastic basin) reservoirs may be in the Spraberry trend
  • Estimated 6 billion bbl oil remain in Spraberry reservoirs
  • Waterflooding was initiated in 1950’s without much success
  • Current ultimate recovery is no greater than 10% of original oil in place
  • Presence of fractures has a dominating influence on performance
objectives
OBJECTIVES
  • To analyze logs effectively and determine average water saturation
  • To establish pay zones and cut-offs
  • To recommend a suitable logging program
challenges
Absence of clean water bearing zones

Fractured Nature of the Formation

Lack of Rw value to establish water saturations using the models available in the industry

CHALLENGES

Models

Archie

Simandaux

Dual water

Waxman-Smits

Indonesian

slide8

METHODOLGY

DATA GATHERING

DATA EDITING

CORE

ANALYSIS

LITHOLOGY

DETERMINATION

SOFTWARE

PRIZM®

DETERMINATION OF

POROSITY EXPONENT

m

slide9

P ½ CALCULATION

AND PLOT

DETERMINATION OF

P ½ MEAN

DETERMINATION OF

WATER SATURATION

RECOMMEND LOGGING

PROGRAM

slide10

Why is matrix density is so vital for the analysis of fractured zones ??

Density porosity is given by

By convention

SANDSTONE 2.65 GM/CC

LIMESTONE 2.71 GM/CC

DOLOMITE 2.87 GM/CC

true matrix density can be determined

INGREDIENTS FOR SUCCESS

True matrix density can be determined
  • From core analysis
  • From complex mineral lithology plots (using software packages)
  • By interplay between Hingle and Pickett plot (which also gives the cementation component “m”)
slide13

4 MINERAL PLOT

USING PRIZM®

Shale streak marker

slide14

LITHOLOGY 1U WELL#37

The points fall in the

sandstone region

slide15

HINGLE AND PICKETT INTERPLAY

Assume “m”

Find ρma

Hingle

Pickett

m

Log(ρma-ρb)

(1/R t) (1/m)

ρma

ρb

Log(R t)

Estimate “m”

Estimate “m”

Hingle

Pickett

Find ρma

(1/R t) (1/m)

m

Log(ρma-ρb)

ρma

ρb

Log(R t)

slide17

(m-b) ,GM/CC

Rt, OHMM

Hey!!! That’s a fractured formation—Why?? m = 1.2

slide18

COMPARISON IN WELL # 39 5U

Sonic 

Core 

Core 

Effective 

Density 

Density 

slide19

AVERAGE WATER SATURATION

  • Calculated using a statistical parameter P ½, originally introduced by Porter, Pickett and Whitman.
  • Empirically, P ½ has a normal distribution for intervals which are filled with water.
  • Intervals with some hydrocarbon saturation deviate from the normal distribution.

The parameter is defined by

If Sonic Log is used,

slide20

Hydrocarbon zones

Non-productive zones

slide22

Hydrocarbon zones

Non-productive zones

slide23

DETERMINATION OFAVERAGE WATER SATURATION

Resistivity Index

Conventional

Water saturation is given by

slide24

WELL # 39

1U

Sw

BVW

OIL

slide26

Comparison of Core vs Porosity 1U Well#37

Core 

Core 

Effective 

Density 

slide28

Non productive Zones

P 1/2mean

Cummulative frequency

slide29

1U

Density caliper

lost contact

5U

slide30

WELL #37

Sw

1U

BVW

OIL

conclusions
CONCLUSIONS
  • The Density log derived porosity is found to approximately correlate with core porosity after suitable corrections.
  • The water saturation derived from statistical parameter P ½ gives acceptable values compared to the other models used in the industry . Sonic log gave better results than density log.
  • This method can be employed in formations whose Rw is difficult to obtain.
  • The payzones and cutoffs can be established from the saturation values
recommendations
RECOMMENDATIONS

An ideal Logging Suite for the Spraberry Trend will be

Spectral

Gamma log

Density log

Sonic log

Induction log